Optimal solution of the combined heat and power economic dispatch problem by adaptive fitness-distance balance based artificial rabbits optimization algorithm
Combined heat and power economic dispatch (CHPED) problem is one of the most widely handled, optimization problem by researchers in modern power systems. CHPED problem is a complicated, non-continuous, and non-convex optimization problem due to the constraints. Moreover, considering the valve-point...
Uloženo v:
| Vydáno v: | Expert systems with applications Ročník 238; s. 122272 |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
15.03.2024
|
| Témata: | |
| ISSN: | 0957-4174 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Combined heat and power economic dispatch (CHPED) problem is one of the most widely handled, optimization problem by researchers in modern power systems. CHPED problem is a complicated, non-continuous, and non-convex optimization problem due to the constraints. Moreover, considering the valve-point loading effect (VPLE), transmission losses (TLs), and prohibited operating zones (POZs) of power-only units as constraints, the complexity of CHPED problem increases. Therefore, a powerful optimization algorithm needs to be introduced to find global solution that meets all constraints. In this paper, a novel adaptive fitness-distance balance based artificial rabbits optimization (AFDB-ARO) is developed to solve CHPED problems. AFDB-based guiding mechanism was implemented to enhance the exploration capability of ARO and to strengthen exploitation-exploration balance. A comprehensive experimental study was realized to prove the performance of the proposed algorithm on the CHPED and benchmark problems. In experimental study between AFDB-ARO variants and ARO on 40 benchmark problems, according to Wilcoxon analysis results, all AFDB-ARO variants outperformed the base ARO, and the best AFDB-ARO variant won victory in 20 of 40 problem and achieved similar results in other 20 problem. In other experimental study, AFDB-ARO algorithm was implemented on the CHPED systems with 4-, 5-, 7-, 24-, 48-, 96-, and 192-units, and fifteen case studies were considered using these systems, VPLE, TLs, and POZs. One of the important points of this study was that POZs were considered for the first time in 96- and 192-units system. The results show that AFDB-ARO achieved the best optimal solution in ten of fifteen cases, was same in one case, and obtained almost same results in four cases compared to the literature. Moreover, the stability of the AFDB-ARO and base ARO algorithms in solving the CHPED problem were tested by performing stability analysis. While the mean success rate, mean iteration number, and mean search time were obtained 87.62%, 353.63, and 2.91 sec of AFDB-ARO, respectively, ARO managed to find the optimal solution in two cases. Thus, the superior performance of AFDB-ARO algorithm is confirmed by experimental studies and analysis against ARO algorithm. The source codes of the AFDB-ARO algorithm (proposed method) can be accessed at this link: https://www.mathworks.com/matlabcentral/fileexchange/136846-afdb-aro-an-improved-aro-algorithm-for-optimization-problem. |
|---|---|
| AbstractList | Combined heat and power economic dispatch (CHPED) problem is one of the most widely handled, optimization problem by researchers in modern power systems. CHPED problem is a complicated, non-continuous, and non-convex optimization problem due to the constraints. Moreover, considering the valve-point loading effect (VPLE), transmission losses (TLs), and prohibited operating zones (POZs) of power-only units as constraints, the complexity of CHPED problem increases. Therefore, a powerful optimization algorithm needs to be introduced to find global solution that meets all constraints. In this paper, a novel adaptive fitness-distance balance based artificial rabbits optimization (AFDB-ARO) is developed to solve CHPED problems. AFDB-based guiding mechanism was implemented to enhance the exploration capability of ARO and to strengthen exploitation-exploration balance. A comprehensive experimental study was realized to prove the performance of the proposed algorithm on the CHPED and benchmark problems. In experimental study between AFDB-ARO variants and ARO on 40 benchmark problems, according to Wilcoxon analysis results, all AFDB-ARO variants outperformed the base ARO, and the best AFDB-ARO variant won victory in 20 of 40 problem and achieved similar results in other 20 problem. In other experimental study, AFDB-ARO algorithm was implemented on the CHPED systems with 4-, 5-, 7-, 24-, 48-, 96-, and 192-units, and fifteen case studies were considered using these systems, VPLE, TLs, and POZs. One of the important points of this study was that POZs were considered for the first time in 96- and 192-units system. The results show that AFDB-ARO achieved the best optimal solution in ten of fifteen cases, was same in one case, and obtained almost same results in four cases compared to the literature. Moreover, the stability of the AFDB-ARO and base ARO algorithms in solving the CHPED problem were tested by performing stability analysis. While the mean success rate, mean iteration number, and mean search time were obtained 87.62%, 353.63, and 2.91 sec of AFDB-ARO, respectively, ARO managed to find the optimal solution in two cases. Thus, the superior performance of AFDB-ARO algorithm is confirmed by experimental studies and analysis against ARO algorithm. The source codes of the AFDB-ARO algorithm (proposed method) can be accessed at this link: https://www.mathworks.com/matlabcentral/fileexchange/136846-afdb-aro-an-improved-aro-algorithm-for-optimization-problem. |
| ArticleNumber | 122272 |
| Author | Ozkaya, Burcin Kahraman, Hamdi Tolga Guvenc, Ugur Duman, Serhat |
| Author_xml | – sequence: 1 givenname: Burcin orcidid: 0000-0002-9858-3982 surname: Ozkaya fullname: Ozkaya, Burcin email: bozkaya@bandirma.edu.tr organization: Electrical Engineering, Engineering and Natural Sciences Faculty, Bandirma Onyedi Eylul University, Bandirma, Turkey – sequence: 2 givenname: Serhat orcidid: 0000-0002-1091-125X surname: Duman fullname: Duman, Serhat email: sduman@bandirma.edu.tr organization: Electrical Engineering, Engineering and Natural Sciences Faculty, Bandirma Onyedi Eylul University, Bandirma, Turkey – sequence: 3 givenname: Hamdi Tolga orcidid: 0000-0001-9985-6324 surname: Kahraman fullname: Kahraman, Hamdi Tolga email: htolgakahraman@ktu.edu.tr organization: Software Engineering, Of Technology Faculty, Karadeniz Technical University, Trabzon, Turkey – sequence: 4 givenname: Ugur surname: Guvenc fullname: Guvenc, Ugur email: ugurguvec@duzce.edu.tr organization: Electrical and Electronics Engineering, Engineering Faculty, Duzce University, Duzce, Turkey |
| BookMark | eNp9kE1OwzAQRr0oEi1wAVa-QIrttE0isUEVf1IlNrC2xvaETpXEkW2K4DCclaTtigWrbzPvm5k3Y5POd8jYtRRzKeTqZjfH-AlzJVQ-l0qpQk3YVFTLIlvIYnHOZjHuhJCFEMWU_bz0iVpoePTNRyLfcV_ztEVufWuoQ8e3CIlD53jvPzFwtL7zLVnuKPaQ7Jb3wZsGW26-ODgY6vbIa0odxpgNQwk6i9xAc8o4dEJIVJOlYW8AYyhF7sc76BsON0Dz7gOlbXvJzmpoIl6d8oK9Pdy_rp-yzcvj8_puk9lciJShquo8z5egAKTByi6sXAoDqEqnKiyFxFwtcAXLXKrSlJVwBmpjXAGrunKr_IKpY68NPsaAte7DoCV8aSn0aFXv9GhVj1b10eoAlX8gS-nwQApAzf_o7RHF4ak9YdDREg6CHAW0STtP_-G_D7mctw |
| CitedBy_id | crossref_primary_10_1007_s10586_024_04892_8 crossref_primary_10_1016_j_eswa_2025_126425 crossref_primary_10_1016_j_advengsoft_2025_103883 crossref_primary_10_1016_j_ast_2024_109634 crossref_primary_10_1016_j_ins_2024_120915 crossref_primary_10_1007_s10586_025_05500_z crossref_primary_10_1371_journal_pone_0323491 crossref_primary_10_1109_ACCESS_2024_3461805 crossref_primary_10_3390_w16020339 crossref_primary_10_1016_j_asoc_2024_112085 crossref_primary_10_1016_j_apenergy_2024_123297 crossref_primary_10_1016_j_eswa_2024_124929 crossref_primary_10_1016_j_heliyon_2024_e31755 crossref_primary_10_1007_s11831_024_10202_7 crossref_primary_10_1016_j_chaos_2024_115111 crossref_primary_10_3390_math12172641 crossref_primary_10_3390_en18123048 crossref_primary_10_1016_j_apenergy_2025_125414 crossref_primary_10_3390_biomimetics10060388 crossref_primary_10_1016_j_eswa_2024_125055 crossref_primary_10_3390_a18020107 crossref_primary_10_3390_en17246411 crossref_primary_10_1109_JIOT_2024_3373563 crossref_primary_10_1155_2024_5528243 crossref_primary_10_3390_biomimetics10070471 crossref_primary_10_1016_j_compeleceng_2025_110582 crossref_primary_10_1016_j_epsr_2025_111428 crossref_primary_10_1038_s41598_024_69010_5 crossref_primary_10_3390_biomimetics9100603 crossref_primary_10_1109_ACCESS_2025_3544523 crossref_primary_10_3390_biomimetics10030176 crossref_primary_10_1155_2024_8420107 crossref_primary_10_1016_j_autcon_2024_105655 crossref_primary_10_1038_s41598_024_81144_0 crossref_primary_10_1109_JSEN_2024_3456290 crossref_primary_10_1016_j_rineng_2025_105731 crossref_primary_10_1080_0305215X_2025_2501647 crossref_primary_10_1109_ACCESS_2025_3581676 crossref_primary_10_3390_en18112891 crossref_primary_10_3390_pr13030787 crossref_primary_10_1049_rpg2_13057 crossref_primary_10_1016_j_ref_2024_100573 crossref_primary_10_1016_j_egyr_2024_04_016 |
| Cites_doi | 10.1016/j.energy.2017.03.054 10.1016/j.epsr.2015.10.007 10.1016/j.knosys.2022.108320 10.1016/j.knosys.2019.105169 10.1016/j.ijepes.2016.03.004 10.1109/ACCESS.2022.3183562 10.1016/j.applthermaleng.2019.03.095 10.1109/TEVC.2009.2033582 10.1016/j.enconman.2010.10.017 10.1016/j.epsr.2019.105982 10.1109/ACCESS.2020.3038740 10.1016/j.apenergy.2008.10.002 10.1016/j.apenergy.2021.118057 10.1016/j.asoc.2021.107814 10.1016/j.knosys.2020.106463 10.1016/j.asoc.2016.12.046 10.1007/s00521-017-3074-9 10.1016/j.enconman.2013.03.013 10.1016/S0378-7796(02)00028-7 10.1016/j.engappai.2022.104753 10.1016/j.engappai.2019.05.005 10.1016/j.applthermaleng.2017.03.114 10.35833/MPCE.2018.000753 10.1016/j.eswa.2022.116924 10.1016/j.ijepes.2015.06.023 10.1109/59.336125 10.1016/j.asoc.2021.108351 10.1016/j.asoc.2018.06.034 10.1016/j.enconman.2014.01.051 10.1109/CEC.2017.7969307 10.1016/j.asoc.2020.106734 10.1016/j.matcom.2021.08.013 10.1007/s11708-013-0276-4 10.1016/j.ijepes.2015.11.069 10.1016/j.aej.2021.07.001 10.1016/j.engappai.2022.105082 10.1016/j.ijepes.2007.06.006 10.1109/CEC.2016.7744163 10.1016/j.epsr.2023.109400 10.1016/j.energy.2022.124340 10.1016/j.engappai.2022.105501 10.1016/j.asoc.2021.107442 10.1007/s40998-022-00560-y 10.1016/j.asoc.2021.108017 10.1016/j.enconman.2015.09.003 10.1016/j.eswa.2022.116625 10.1109/CEC.2014.6900380 10.1109/CEC.2017.7969336 10.1016/j.asoc.2023.110479 10.1109/59.544642 10.1016/j.engappai.2020.103666 10.1007/s40998-019-00280-w 10.1016/j.applthermaleng.2022.118687 10.1016/j.ijepes.2012.05.016 10.1016/j.applthermaleng.2015.12.136 10.1016/j.apenergy.2019.01.056 10.1007/s00500-018-3536-8 10.1080/15325000902994348 10.1016/j.asoc.2021.107088 10.1080/15325008.2015.1076906 10.1016/j.ijepes.2015.07.031 10.1080/15325000903571574 10.1109/CEC45853.2021.9504792 10.1109/ACCESS.2021.3087449 10.1016/j.apenergy.2023.121167 10.1007/s00521-020-05145-6 10.1016/j.egyr.2022.06.054 10.1016/j.epsr.2012.08.005 10.1016/j.ins.2022.09.025 10.1016/j.ijepes.2013.12.006 10.1016/j.ijepes.2016.02.026 |
| ContentType | Journal Article |
| Copyright | 2023 Elsevier Ltd |
| Copyright_xml | – notice: 2023 Elsevier Ltd |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.eswa.2023.122272 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| ExternalDocumentID | 10_1016_j_eswa_2023_122272 S0957417423027744 |
| GroupedDBID | --K --M .DC .~1 0R~ 13V 1B1 1RT 1~. 1~5 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN 9JO AAAKF AABNK AACTN AAEDT AAEDW AAIKJ AAKOC AALRI AAOAW AAQFI AARIN AAXKI AAXUO AAYFN ABBOA ABFNM ABMAC ABMVD ABUCO ACDAQ ACGFS ACHRH ACNTT ACRLP ACZNC ADBBV ADEZE ADTZH AEBSH AECPX AEKER AENEX AFJKZ AFKWA AFTJW AGHFR AGUBO AGUMN AGYEJ AHHHB AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AJOXV AKRWK ALEQD ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD APLSM AXJTR BJAXD BKOJK BLXMC BNSAS CS3 DU5 EBS EFJIC EO8 EO9 EP2 EP3 F5P FDB FIRID FNPLU FYGXN G-Q GBLVA GBOLZ HAMUX IHE J1W JJJVA KOM LG9 LY1 LY7 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. PQQKQ Q38 RIG ROL RPZ SDF SDG SDP SDS SES SEW SPC SPCBC SSB SSD SSL SST SSV SSZ T5K TN5 ~G- 29G 9DU AAAKG AAQXK AATTM AAYWO AAYXX ABJNI ABKBG ABUFD ABWVN ABXDB ACLOT ACNNM ACRPL ACVFH ADCNI ADJOM ADMUD ADNMO AEIPS AEUPX AFPUW AGQPQ AIGII AIIUN AKBMS AKYEP ANKPU APXCP ASPBG AVWKF AZFZN CITATION EFKBS EFLBG EJD FEDTE FGOYB G-2 HLZ HVGLF HZ~ R2- SBC SET WUQ XPP ZMT ~HD |
| ID | FETCH-LOGICAL-c300t-e29f3335a2aa1be9c4c150bae28d29e801e324e6a53128b890dbafbbd7a6f9d63 |
| ISICitedReferencesCount | 56 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001111227800001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0957-4174 |
| IngestDate | Tue Nov 18 21:32:28 EST 2025 Sat Nov 29 06:15:33 EST 2025 Sat Oct 19 15:54:24 EDT 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | HBA LR CHP MRFO SGWO HS TSCO CSMO OGSO LSHADE-EpSin IHT OTLBO RCGA-IMM EMA FRCSA-ABC MHS MPSO VPLE Large-scale systems ED LSHADE Prohibited operating zones AIS SARGA BCO SQP AFDB-ARO IGA-NCM CSO-PPS CHPED MGOA-IHHO POZs ARO maxFEs FE HNT-MACSO BD FDB HTS MPHS FSRPSO GJO ISNS NDE CFDBSDO CSA sec Adaptive fitness distance balance based artificial rabbits optimization algorithm MGSO GSA IMPOA IGSO SNS MadDE SO CapSA CSO SPSO ACS-DEM IWO SFS GSO TLBO TVAC-GSA-PSO CSA-BA-ABC BLPSO TVAC-PSO LSHADE-SPACMA Stability analysis HBOA TFWO CS ECS Combined heat and power economic dispatch PPSO TLs AFDB NDIDE |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c300t-e29f3335a2aa1be9c4c150bae28d29e801e324e6a53128b890dbafbbd7a6f9d63 |
| ORCID | 0000-0001-9985-6324 0000-0002-9858-3982 0000-0002-1091-125X |
| ParticipantIDs | crossref_primary_10_1016_j_eswa_2023_122272 crossref_citationtrail_10_1016_j_eswa_2023_122272 elsevier_sciencedirect_doi_10_1016_j_eswa_2023_122272 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-03-15 |
| PublicationDateYYYYMMDD | 2024-03-15 |
| PublicationDate_xml | – month: 03 year: 2024 text: 2024-03-15 day: 15 |
| PublicationDecade | 2020 |
| PublicationTitle | Expert systems with applications |
| PublicationYear | 2024 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Duman, Ozbay, Celik, Efe, Isen, Duman (b0110) 2023; 47 Braik, Sheta, Al-Hiary (b0070) 2021; 33 Shaheen, Elsayed, Ginidi, El-Sehiemy, Alharthi, Ghoneim (b0320) 2022; 61 Basu (b0035) 2012; 43 Gafar, Ginidi, El-Sehiemy, Sarhan (b0120) 2022; 8 Beigvand, Abdi, La Scala (b0060) 2017; 126 Jayabarathi, Yazdani, Ramesh, Raghunathan (b0180) 2014; 8 Ramachandran, Mirjalili, Nazari-Heris, Parvathysankar, Sundaram, Gnanakkan (b0290) 2022; 111 Guo, Henwood, Van Ooijen (b0145) 1996; 11 Zhou, Chen, Xu, Ou, Yin, Luo, Meng (b0380) 2023; 342 Kahraman, Aras, Gedikli (b0190) 2020; 190 Mohamed, A. W., Hadi, A. A., Fattouh, A. M., & Jambi, K. M. (2017, June). LSHADE with semi-parameter adaptation hybrid with CMA-ES for solving CEC 2017 benchmark problems. In 2017 IEEE Congress on evolutionary computation (CEC), 145-152. https://doi.org/10.1109/CEC.2017.7969307. Yang, Liu, Zhang, Dong (b0365) 2022; 307 Ghorbani (b0135) 2016; 82 Liu, Hu, Su (b0215) 2022; 613 Mallipeddi, Suganthan (b0220) 2010; 14 Awad, N. H., Ali, M. Z., Suganthan, P. N., & Reynolds, R. G. (2016, July). An ensemble sinusoidal parameter adaptation incorporated with L-SHADE for solving CEC2014 benchmark problems. In 2016 IEEE Congress on Evolutionary Computation (CEC), 2958-2965. https://doi.org/10.1109/CEC.2016.7744163. Rooijers, van Amerongen (b0305) 1994; 9 Ozkaya, Kahraman, Duman, Guvenc (b0275) 2023; 144 Yue, Price, Suganthan, Liang, Ali, Qu, Biswas (b0375) 2019 Duman, Kahraman, Kati (b0105) 2023; 117 Pattanaik, Basu, Dash (b0280) 2020; 44 Ginidi, Elsayed, Shaheen, Elattar, El-Sehiemy (b0140) 2021; 9 Narang, Sharma, Dhillon (b0245) 2017; 52 Nasir, Sadollah, Aydilek, Ara, Nabavi-Niaki (b0250) 2021; 102 Spea (b0330) 2023; 221 Beigvand, Abdi, La Scala (b0055) 2016; 133 Li, Zou, Kong (b0205) 2019; 84 Nazari-Heris, Mehdinejad, Mohammadi-Ivatloo, Babamalek-Gharehpetian (b0260) 2019; 31 Zou, Li, Kong, Ouyang, Li (b0385) 2019; 237 Gürgen, Kahraman, Aras, Altın (b0150) 2022; 213 Chopra, Ansari (b0090) 2022; 198 Biswas, S., Saha, D., De, S., Cobb, A. D., Das, S., & Jalaian, B. A. (2021, June). Improving differential evolution through Bayesian hyperparameter optimization. In 2021 IEEE Congress on Evolutionary Computation (CEC), 832-840. https://doi.org/10.1109/CEC45853.2021.9504792. Basu (b0045) 2015; 73 Hosseini-Hemati, Beigvand, Abdi, Rastgou (b0175) 2022; 117 Vasebi, Fesanghary, Bathaee (b0350) 2007; 29 Basu (b0030) 2011; 38 Hashim, Hussien (b0165) 2022; 242 Tanabe, R., & Fukunaga, A. S. (2014, July). Improving the search performance of SHADE using linear population size reduction. IEEE Congress on Evolutionary Computation (CEC), 1658-1665. https://doi.org/10.1109/CEC.2014.6900380. Basu (b0050) 2016; 78 Alomoush (b0010) 2020; 8 Jayakumar, Subramanian, Ganesan, Elanchezhian (b0185) 2016; 74 Katı, Kahraman (b0195) 2020; 8 Basu (b0040) 2015; 43 Subbaraj, Rengaraj, Salivahanan (b0335) 2009; 86 Feng, Niu, Liu (b0115) 2021; 98 Yang, Gao, Dong, Liu (b0370) 2023; 1–21 Rizk-Allah, Hassanien, Snášel (b0300) 2022; 254 Abdolmohammadi, Kazemi (b0005) 2013; 71 Cantú, Azzaro-Pantel, Ponsich (b0075) 2021; 108 Hagh, Teimourzadeh, Alipour, Aliasghary (b0155) 2014; 80 Mohammadi-Ivatloo, Moradi-Dalvand, Rabiee (b0230) 2013; 95 Basu (b0025) 2010; 38 Ghasemi, Davoudkhani, Akbari, Rahimnejad, Ghavidel, Li (b0125) 2020; 92 Haghrah, Nazari-Heris, Mohammadi-Ivatloo (b0160) 2016; 99 Nazari-Heris, Mohammadi-Ivatloo, Asadi, Geem (b0265) 2019; 154 Shaheen, Ginidi, El-Sehiemy, Ghoneim (b0315) 2020; 8 Sun, Li (b0340) 2019; 29(1), Article e2660 Ramesh, Jayabarathi, Shrivastava, Baska (b0295) 2009; 37 Roy, Paul, Sultana (b0310) 2014; 57 Wang, Cao, Zhang, Mirjalili, Zhao (b0355) 2022; 114 Chen, Li, Xu, Yang (b0085) 2020; 208 Meng, Mei, Yin, Peng, Guo (b0225) 2015; 105 Duman, Akbel, Kahraman (b0100) 2021; 112 Khorram, Jaberipour (b0200) 2011; 52 Murugan, Mohan, Rajan, Sundari, Arunachalam (b0240) 2018; 72 Shaheen, Elsayed, Elattar, El-Sehiemy, Ginidi (b0325) 2022; 10 Wong, Algie (b0360) 2002; 61 Awad, N. H., Ali, M. Z., & Suganthan, P. N. (2017, June). Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems. In 2017 IEEE Congress on Evolutionary Computation (CEC), 372-379. https://doi.org/10.1109/CEC.2017.7969336. Liu, Hu, Su, Liu (b0210) 2021; 113 Ghasemi, Akbari, Rahimnejad, Razavi, Ghavidel, Li (b0130) 2019; 23 Ramachandran, Mirjalili, Ramalingam, Gnanakkan, Parvathysankar, Sundaram (b0285) 2022; 197 Nguyen, Vo, Dinh (b0270) 2016; 81 Hashim, Houssein, Hussain, Mabrouk, Al-Atabany (b0170) 2022; 192 Chen, Zhang (b0080) 2019; 177 Davoodi, Zare, Babaei (b0095) 2017; 120 Beigvand (10.1016/j.eswa.2023.122272_b0055) 2016; 133 Ramesh (10.1016/j.eswa.2023.122272_b0295) 2009; 37 Abdolmohammadi (10.1016/j.eswa.2023.122272_b0005) 2013; 71 10.1016/j.eswa.2023.122272_b0020 Ramachandran (10.1016/j.eswa.2023.122272_b0290) 2022; 111 10.1016/j.eswa.2023.122272_b0065 Zhou (10.1016/j.eswa.2023.122272_b0380) 2023; 342 Basu (10.1016/j.eswa.2023.122272_b0030) 2011; 38 10.1016/j.eswa.2023.122272_b0345 Katı (10.1016/j.eswa.2023.122272_b0195) 2020; 8 Vasebi (10.1016/j.eswa.2023.122272_b0350) 2007; 29 Feng (10.1016/j.eswa.2023.122272_b0115) 2021; 98 Meng (10.1016/j.eswa.2023.122272_b0225) 2015; 105 Nazari-Heris (10.1016/j.eswa.2023.122272_b0265) 2019; 154 Rizk-Allah (10.1016/j.eswa.2023.122272_b0300) 2022; 254 Alomoush (10.1016/j.eswa.2023.122272_b0010) 2020; 8 Spea (10.1016/j.eswa.2023.122272_b0330) 2023; 221 Yang (10.1016/j.eswa.2023.122272_b0365) 2022; 307 Jayakumar (10.1016/j.eswa.2023.122272_b0185) 2016; 74 Basu (10.1016/j.eswa.2023.122272_b0050) 2016; 78 Wong (10.1016/j.eswa.2023.122272_b0360) 2002; 61 Shaheen (10.1016/j.eswa.2023.122272_b0315) 2020; 8 Basu (10.1016/j.eswa.2023.122272_b0040) 2015; 43 Braik (10.1016/j.eswa.2023.122272_b0070) 2021; 33 Yang (10.1016/j.eswa.2023.122272_b0370) 2023; 1–21 Hashim (10.1016/j.eswa.2023.122272_b0165) 2022; 242 Ramachandran (10.1016/j.eswa.2023.122272_b0285) 2022; 197 10.1016/j.eswa.2023.122272_b0235 Murugan (10.1016/j.eswa.2023.122272_b0240) 2018; 72 Zou (10.1016/j.eswa.2023.122272_b0385) 2019; 237 Chen (10.1016/j.eswa.2023.122272_b0085) 2020; 208 Davoodi (10.1016/j.eswa.2023.122272_b0095) 2017; 120 Hashim (10.1016/j.eswa.2023.122272_b0170) 2022; 192 Narang (10.1016/j.eswa.2023.122272_b0245) 2017; 52 Li (10.1016/j.eswa.2023.122272_b0205) 2019; 84 Liu (10.1016/j.eswa.2023.122272_b0215) 2022; 613 Sun (10.1016/j.eswa.2023.122272_b0340) 2019; 29(1), Article e2660 Duman (10.1016/j.eswa.2023.122272_b0105) 2023; 117 Shaheen (10.1016/j.eswa.2023.122272_b0325) 2022; 10 Duman (10.1016/j.eswa.2023.122272_b0100) 2021; 112 Khorram (10.1016/j.eswa.2023.122272_b0200) 2011; 52 Kahraman (10.1016/j.eswa.2023.122272_b0190) 2020; 190 Hosseini-Hemati (10.1016/j.eswa.2023.122272_b0175) 2022; 117 Rooijers (10.1016/j.eswa.2023.122272_b0305) 1994; 9 Basu (10.1016/j.eswa.2023.122272_b0045) 2015; 73 Liu (10.1016/j.eswa.2023.122272_b0210) 2021; 113 Duman (10.1016/j.eswa.2023.122272_b0110) 2023; 47 Haghrah (10.1016/j.eswa.2023.122272_b0160) 2016; 99 Ozkaya (10.1016/j.eswa.2023.122272_b0275) 2023; 144 Shaheen (10.1016/j.eswa.2023.122272_b0320) 2022; 61 Wang (10.1016/j.eswa.2023.122272_b0355) 2022; 114 Yue (10.1016/j.eswa.2023.122272_b0375) 2019 Nguyen (10.1016/j.eswa.2023.122272_b0270) 2016; 81 Ghasemi (10.1016/j.eswa.2023.122272_b0125) 2020; 92 Ginidi (10.1016/j.eswa.2023.122272_b0140) 2021; 9 Nasir (10.1016/j.eswa.2023.122272_b0250) 2021; 102 Jayabarathi (10.1016/j.eswa.2023.122272_b0180) 2014; 8 Basu (10.1016/j.eswa.2023.122272_b0025) 2010; 38 Chen (10.1016/j.eswa.2023.122272_b0080) 2019; 177 Cantú (10.1016/j.eswa.2023.122272_b0075) 2021; 108 Nazari-Heris (10.1016/j.eswa.2023.122272_b0260) 2019; 31 Subbaraj (10.1016/j.eswa.2023.122272_b0335) 2009; 86 Gürgen (10.1016/j.eswa.2023.122272_b0150) 2022; 213 Basu (10.1016/j.eswa.2023.122272_b0035) 2012; 43 Pattanaik (10.1016/j.eswa.2023.122272_b0280) 2020; 44 Ghasemi (10.1016/j.eswa.2023.122272_b0130) 2019; 23 Gafar (10.1016/j.eswa.2023.122272_b0120) 2022; 8 Mohammadi-Ivatloo (10.1016/j.eswa.2023.122272_b0230) 2013; 95 Ghorbani (10.1016/j.eswa.2023.122272_b0135) 2016; 82 10.1016/j.eswa.2023.122272_b0015 Beigvand (10.1016/j.eswa.2023.122272_b0060) 2017; 126 Chopra (10.1016/j.eswa.2023.122272_b0090) 2022; 198 Hagh (10.1016/j.eswa.2023.122272_b0155) 2014; 80 Mallipeddi (10.1016/j.eswa.2023.122272_b0220) 2010; 14 Guo (10.1016/j.eswa.2023.122272_b0145) 1996; 11 Roy (10.1016/j.eswa.2023.122272_b0310) 2014; 57 |
| References_xml | – volume: 237 start-page: 646 year: 2019 end-page: 670 ident: b0385 article-title: Solving the combined heat and power economic dispatch problems by an improved genetic algorithm and a new constraint handling strategy publication-title: Applied Energy – volume: 52 start-page: 1550 year: 2011 end-page: 1554 ident: b0200 article-title: Harmony search algorithm for solving combined heat and power economic dispatch problems publication-title: Energy Conversion and Management – volume: 133 start-page: 160 year: 2016 end-page: 172 ident: b0055 article-title: Combined heat and power economic dispatch problem using gravitational search algorithm publication-title: Electric Power Systems Research – volume: 120 start-page: 36 year: 2017 end-page: 48 ident: b0095 article-title: A GSO-based algorithm for combined heat and power dispatch problem with modified scrounger and ranger operators publication-title: Applied Thermal Engineering – reference: Biswas, S., Saha, D., De, S., Cobb, A. D., Das, S., & Jalaian, B. A. (2021, June). Improving differential evolution through Bayesian hyperparameter optimization. In 2021 IEEE Congress on Evolutionary Computation (CEC), 832-840. https://doi.org/10.1109/CEC45853.2021.9504792. – volume: 74 start-page: 252 year: 2016 end-page: 264 ident: b0185 article-title: Grey wolf optimization for combined heat and power dispatch with cogeneration systems publication-title: International Journal of Electrical Power & Energy Systems – volume: 177 year: 2019 ident: b0080 article-title: A lagrange relaxation-based alternating iterative algorithm for non-convex combined heat and power dispatch problem publication-title: Electric Power Systems Research – volume: 37 start-page: 1231 year: 2009 end-page: 1240 ident: b0295 article-title: A novel selective particle swarm optimization approach for combined heat and power economic dispatch publication-title: Electric Power Components and Systems – volume: 29(1), Article e2660 year: 2019 ident: b0340 article-title: Social cognitive optimization with tent map for combined heat and power economic dispatch publication-title: International Transactions on Electrical Energy Systems – volume: 44 start-page: 963 year: 2020 end-page: 978 ident: b0280 article-title: Heat transfer search algorithm for combined heat and power economic dispatch publication-title: Iranian Journal of Science and Technology, Transactions of Electrical Engineering – volume: 126 start-page: 841 year: 2017 end-page: 853 ident: b0060 article-title: Hybrid gravitational search algorithm-particle swarm optimization with time varying acceleration coefficients for large scale CHPED problem publication-title: Energy – volume: 1–21 year: 2023 ident: b0370 article-title: An elitist cuckoo search algorithm for combined heat and power economic dispatch publication-title: International Journal of Production Research – volume: 8 start-page: 276 year: 2020 end-page: 286 ident: b0010 article-title: Optimal combined heat and power economic dispatch using stochastic fractal search algorithm publication-title: Journal of Modern Power Systems and Clean Energy – volume: 43 start-page: 2146 year: 2015 end-page: 2155 ident: b0040 article-title: Modified particle swarm optimization for non-smooth non-convex combined heat and power economic dispatch publication-title: Electric Power Components and Systems – volume: 8 start-page: 25 year: 2014 end-page: 30 ident: b0180 article-title: Combined heat and power economic dispatch problem using the invasive weed optimization algorithm publication-title: Frontiers in Energy – volume: 10 start-page: 64325 year: 2022 end-page: 64338 ident: b0325 article-title: An Intelligent Heap-Based Technique With Enhanced Discriminatory Attribute for Large-Scale Combined Heat and Power Economic Dispatch publication-title: IEEE Access – volume: 38 start-page: 996 year: 2010 end-page: 1004 ident: b0025 article-title: Combined heat and power economic dispatch by using differential evolution publication-title: Electric Power Components and Systems – volume: 8 start-page: 8857 year: 2022 end-page: 8873 ident: b0120 article-title: Improved SNS algorithm with high exploitative strategy for dynamic combined heat and power dispatch in co-generation systems publication-title: Energy Reports – volume: 197 year: 2022 ident: b0285 article-title: A ranking-based fuzzy adaptive hybrid crow search algorithm for combined heat and power economic dispatch publication-title: Expert Systems with Applications – volume: 112 year: 2021 ident: b0100 article-title: Development of the multi-objective adaptive guided differential evolution and optimization of the MO-ACOPF for wind/PV/tidal energy sources publication-title: Applied Soft Computing – volume: 57 start-page: 392 year: 2014 end-page: 403 ident: b0310 article-title: Oppositional teaching learning based optimization approach for combined heat and power dispatch publication-title: International Journal of Electrical Power & Energy Systems – volume: 78 start-page: 138 year: 2016 end-page: 147 ident: b0050 article-title: Group search optimization for combined heat and power economic dispatch publication-title: International Journal of Electrical Power & Energy Systems – volume: 8 start-page: 208281 year: 2020 end-page: 208295 ident: b0315 article-title: Economic power and heat dispatch in cogeneration energy systems using manta ray foraging optimizer publication-title: IEEE Access – volume: 254 year: 2022 ident: b0300 article-title: A hybrid chameleon swarm algorithm with superiority of feasible solutions for optimal combined heat and power economic dispatch problem publication-title: Energy – volume: 11 start-page: 1778 year: 1996 end-page: 1784 ident: b0145 article-title: An algorithm for combined heat and power economic dispatch publication-title: IEEE Transactions on Power Systems – volume: 102 year: 2021 ident: b0250 article-title: A combination of FA and SRPSO algorithm for combined heat and power economic dispatch publication-title: Applied Soft Computing – volume: 86 start-page: 915 year: 2009 end-page: 921 ident: b0335 article-title: Enhancement of combined heat and power economic dispatch using self adaptive real-coded genetic algorithm publication-title: Applied Energy – volume: 198 year: 2022 ident: b0090 article-title: Golden jackal optimization: A novel nature-inspired optimizer for engineering applications publication-title: Expert Systems with Applications – reference: Tanabe, R., & Fukunaga, A. S. (2014, July). Improving the search performance of SHADE using linear population size reduction. IEEE Congress on Evolutionary Computation (CEC), 1658-1665. https://doi.org/10.1109/CEC.2014.6900380. – volume: 81 start-page: 204 year: 2016 end-page: 214 ident: b0270 article-title: Cuckoo search algorithm for combined heat and power economic dispatch publication-title: International Journal of Electrical Power & Energy Systems – volume: 113 year: 2021 ident: b0210 article-title: A niching differential evolution algorithm for the large-scale combined heat and power economic dispatch problem publication-title: Applied Soft Computing – reference: Mohamed, A. W., Hadi, A. A., Fattouh, A. M., & Jambi, K. M. (2017, June). LSHADE with semi-parameter adaptation hybrid with CMA-ES for solving CEC 2017 benchmark problems. In 2017 IEEE Congress on evolutionary computation (CEC), 145-152. https://doi.org/10.1109/CEC.2017.7969307. – volume: 52 start-page: 190 year: 2017 end-page: 202 ident: b0245 article-title: Combined heat and power economic dispatch using integrated civilized swarm optimization and Powell’s pattern search method publication-title: Applied Soft Computing – volume: 8 start-page: 156 year: 2020 end-page: 172 ident: b0195 article-title: Improving supply-demand-based optimization algorithm with FDB method: A comprehensive research on engineering design problems publication-title: Journal of Engineering Sciences and Design – volume: 61 start-page: 227 year: 2002 end-page: 232 ident: b0360 article-title: Evolutionary programming approach for combined heat and power dispatch publication-title: Electric Power Systems Research – volume: 9 start-page: 83695 year: 2021 end-page: 83708 ident: b0140 article-title: A novel heap-based optimizer for scheduling of large-scale combined heat and power economic dispatch publication-title: IEEE Access – volume: 192 start-page: 84 year: 2022 end-page: 110 ident: b0170 article-title: Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems publication-title: Mathematics and Computers in Simulation – volume: 108 year: 2021 ident: b0075 article-title: Constraint-handling techniques within differential evolution for solving process engineering problems publication-title: Applied Soft Computing – volume: 38 start-page: 13527 year: 2011 end-page: 13531 ident: b0030 article-title: Bee colony optimization for combined heat and power economic dispatch publication-title: Expert Systems with Applications – volume: 144 year: 2023 ident: b0275 article-title: Fitness-Distance-Constraint (FDC) based guide selection method for constrained optimization problems publication-title: Applied Soft Computing – volume: 84 start-page: 18 year: 2019 end-page: 40 ident: b0205 article-title: A harmony search variant and a useful constraint handling method for the dynamic economic emission dispatch problems considering transmission loss publication-title: Engineering Applications of Artificial Intelligence – volume: 613 start-page: 469 year: 2022 end-page: 493 ident: b0215 article-title: Neighborhood-based differential evolution algorithm with direction induced strategy for the large-scale combined heat and power economic dispatch problem publication-title: Information Sciences – volume: 73 start-page: 819 year: 2015 end-page: 829 ident: b0045 article-title: Combined heat and power economic dispatch using opposition-based group search optimization publication-title: International Journal of Electrical Power & Energy Systems – volume: 117 year: 2022 ident: b0175 article-title: Society-based Grey Wolf Optimizer for large scale Combined Heat and Power Economic Dispatch problem considering power losses publication-title: Applied Soft Computing – volume: 95 start-page: 9 year: 2013 end-page: 18 ident: b0230 article-title: Combined heat and power economic dispatch problem solution using particle swarm optimization with time varying acceleration coefficients publication-title: Electric Power Systems Research – volume: 47 start-page: 513 year: 2023 end-page: 548 ident: b0110 article-title: Improvement of the Fitness-Distance Balance-Based Supply-Demand Optimization Algorithm for Solving the Combined Heat and Power Economic Dispatch Problem publication-title: Iranian Journal of Science and Technology, Transactions of Electrical Engineering – volume: 82 start-page: 58 year: 2016 end-page: 66 ident: b0135 article-title: Combined heat and power economic dispatch using exchange market algorithm publication-title: International Journal of Electrical Power & Energy Systems – volume: 14 start-page: 561 year: 2010 end-page: 579 ident: b0220 article-title: Ensemble of constraint handling techniques publication-title: IEEE Transactions on Evolutionary Computation – volume: 61 start-page: 1834 year: 2022 end-page: 1851 ident: b0320 article-title: A novel improved marine predators algorithm for combined heat and power economic dispatch problem publication-title: Alexandria Engineering Journal – volume: 190 year: 2020 ident: b0190 article-title: Fitness-distance balance (FDB): A new selection method for meta-heuristic search algorithms publication-title: Knowledge-Based Systems – reference: Awad, N. H., Ali, M. Z., Suganthan, P. N., & Reynolds, R. G. (2016, July). An ensemble sinusoidal parameter adaptation incorporated with L-SHADE for solving CEC2014 benchmark problems. In 2016 IEEE Congress on Evolutionary Computation (CEC), 2958-2965. https://doi.org/10.1109/CEC.2016.7744163. – volume: 342 year: 2023 ident: b0380 article-title: A novel multi-agent based crisscross algorithm with hybrid neighboring topology for combined heat and power economic dispatch publication-title: Applied Energy – volume: 92 year: 2020 ident: b0125 article-title: A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO) publication-title: Engineering Applications of Artificial Intelligence – volume: 99 start-page: 465 year: 2016 end-page: 475 ident: b0160 article-title: Solving combined heat and power economic dispatch problem using real coded genetic algorithm with improved Mühlenbein mutation publication-title: Applied Thermal Engineering – volume: 208 year: 2020 ident: b0085 article-title: Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem publication-title: Knowledge-Based Systems – volume: 98 year: 2021 ident: b0115 article-title: Cooperation search algorithm: A novel metaheuristic evolutionary intelligence algorithm for numerical optimization and engineering optimization problems publication-title: Applied Soft Computing – volume: 43 start-page: 1 year: 2012 end-page: 5 ident: b0035 article-title: Artificial immune system for combined heat and power economic dispatch publication-title: International Journal of Electrical Power & Energy Systems – volume: 213 year: 2022 ident: b0150 article-title: A comprehensive performance analysis of meta-heuristic optimization techniques for effective organic rankine cycle design publication-title: Applied Thermal Engineering – volume: 114 year: 2022 ident: b0355 article-title: Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems publication-title: Engineering Applications of Artificial Intelligence – volume: 29 start-page: 713 year: 2007 end-page: 719 ident: b0350 article-title: Combined heat and power economic dispatch by harmony search algorithm publication-title: International Journal of Electrical Power & Energy Systems – volume: 154 start-page: 493 year: 2019 end-page: 504 ident: b0265 article-title: Large-scale combined heat and power economic dispatch using a novel multi-player harmony search method publication-title: Applied Thermal Engineering – volume: 9 start-page: 1392 year: 1994 end-page: 1398 ident: b0305 article-title: Static economic dispatch for co-generation systems publication-title: IEEE Transactions on Power Systems – volume: 221 year: 2023 ident: b0330 article-title: Social network search algorithm for combined heat and power economic dispatch publication-title: Electric Power Systems Research – volume: 72 start-page: 189 year: 2018 end-page: 217 ident: b0240 article-title: Hybridizing bat algorithm with artificial bee colony for combined heat and power economic dispatch publication-title: Applied Soft Computing – volume: 80 start-page: 446 year: 2014 end-page: 456 ident: b0155 article-title: Improved group search optimization method for solving CHPED in large scale power systems publication-title: Energy Conversion and Management – year: 2019 ident: b0375 article-title: Problem Definitions and Evaluation Criteria for the CEC 2020 Special Session and Competition on Single Objective Bound Constrained Numerical Optimization – volume: 105 start-page: 1303 year: 2015 end-page: 1317 ident: b0225 article-title: Crisscross optimization algorithm for solving combined heat and power economic dispatch problem publication-title: Energy Conversion and Management – volume: 307 year: 2022 ident: b0365 article-title: Combined heat and power economic dispatch using an adaptive cuckoo search with differential evolution mutation publication-title: Applied Energy – reference: Awad, N. H., Ali, M. Z., & Suganthan, P. N. (2017, June). Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems. In 2017 IEEE Congress on Evolutionary Computation (CEC), 372-379. https://doi.org/10.1109/CEC.2017.7969336. – volume: 23 start-page: 9701 year: 2019 end-page: 9718 ident: b0130 article-title: Phasor particle swarm optimization: A simple and efficient variant of PSO publication-title: Soft Computing – volume: 33 start-page: 2515 year: 2021 end-page: 2547 ident: b0070 article-title: A novel meta-heuristic search algorithm for solving optimization problems: Capuchin search algorithm publication-title: Neural Computing and Applications – volume: 111 year: 2022 ident: b0290 article-title: A hybrid grasshopper optimization algorithm and harris hawks optimizer for combined heat and power economic dispatch problem publication-title: Engineering Applications of Artificial Intelligence – volume: 31 start-page: 421 year: 2019 end-page: 436 ident: b0260 article-title: Combined heat and power economic dispatch problem solution by implementation of whale optimization method publication-title: Neural Computing and Applications – volume: 117 year: 2023 ident: b0105 article-title: Economical operation of modern power grids incorporating uncertainties of renewable energy sources and load demand using the adaptive fitness-distance balance-based stochastic fractal search algorithm publication-title: Engineering Applications of Artificial Intelligence – volume: 242 year: 2022 ident: b0165 article-title: Snake Optimizer: A novel meta-heuristic optimization algorithm publication-title: Knowledge-Based Systems – volume: 71 start-page: 21 year: 2013 end-page: 31 ident: b0005 article-title: A benders decomposition approach for a combined heat and power economic dispatch publication-title: Energy Conversion and Management – volume: 126 start-page: 841 year: 2017 ident: 10.1016/j.eswa.2023.122272_b0060 article-title: Hybrid gravitational search algorithm-particle swarm optimization with time varying acceleration coefficients for large scale CHPED problem publication-title: Energy doi: 10.1016/j.energy.2017.03.054 – volume: 29(1), Article e2660 year: 2019 ident: 10.1016/j.eswa.2023.122272_b0340 article-title: Social cognitive optimization with tent map for combined heat and power economic dispatch publication-title: International Transactions on Electrical Energy Systems – volume: 133 start-page: 160 year: 2016 ident: 10.1016/j.eswa.2023.122272_b0055 article-title: Combined heat and power economic dispatch problem using gravitational search algorithm publication-title: Electric Power Systems Research doi: 10.1016/j.epsr.2015.10.007 – volume: 242 year: 2022 ident: 10.1016/j.eswa.2023.122272_b0165 article-title: Snake Optimizer: A novel meta-heuristic optimization algorithm publication-title: Knowledge-Based Systems doi: 10.1016/j.knosys.2022.108320 – volume: 190 year: 2020 ident: 10.1016/j.eswa.2023.122272_b0190 article-title: Fitness-distance balance (FDB): A new selection method for meta-heuristic search algorithms publication-title: Knowledge-Based Systems doi: 10.1016/j.knosys.2019.105169 – volume: 82 start-page: 58 year: 2016 ident: 10.1016/j.eswa.2023.122272_b0135 article-title: Combined heat and power economic dispatch using exchange market algorithm publication-title: International Journal of Electrical Power & Energy Systems doi: 10.1016/j.ijepes.2016.03.004 – volume: 10 start-page: 64325 year: 2022 ident: 10.1016/j.eswa.2023.122272_b0325 article-title: An Intelligent Heap-Based Technique With Enhanced Discriminatory Attribute for Large-Scale Combined Heat and Power Economic Dispatch publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3183562 – volume: 154 start-page: 493 year: 2019 ident: 10.1016/j.eswa.2023.122272_b0265 article-title: Large-scale combined heat and power economic dispatch using a novel multi-player harmony search method publication-title: Applied Thermal Engineering doi: 10.1016/j.applthermaleng.2019.03.095 – volume: 14 start-page: 561 issue: 4 year: 2010 ident: 10.1016/j.eswa.2023.122272_b0220 article-title: Ensemble of constraint handling techniques publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2009.2033582 – volume: 52 start-page: 1550 issue: 2 year: 2011 ident: 10.1016/j.eswa.2023.122272_b0200 article-title: Harmony search algorithm for solving combined heat and power economic dispatch problems publication-title: Energy Conversion and Management doi: 10.1016/j.enconman.2010.10.017 – volume: 177 year: 2019 ident: 10.1016/j.eswa.2023.122272_b0080 article-title: A lagrange relaxation-based alternating iterative algorithm for non-convex combined heat and power dispatch problem publication-title: Electric Power Systems Research doi: 10.1016/j.epsr.2019.105982 – volume: 8 start-page: 208281 year: 2020 ident: 10.1016/j.eswa.2023.122272_b0315 article-title: Economic power and heat dispatch in cogeneration energy systems using manta ray foraging optimizer publication-title: IEEE Access doi: 10.1109/ACCESS.2020.3038740 – volume: 86 start-page: 915 issue: 6 year: 2009 ident: 10.1016/j.eswa.2023.122272_b0335 article-title: Enhancement of combined heat and power economic dispatch using self adaptive real-coded genetic algorithm publication-title: Applied Energy doi: 10.1016/j.apenergy.2008.10.002 – volume: 307 year: 2022 ident: 10.1016/j.eswa.2023.122272_b0365 article-title: Combined heat and power economic dispatch using an adaptive cuckoo search with differential evolution mutation publication-title: Applied Energy doi: 10.1016/j.apenergy.2021.118057 – volume: 112 year: 2021 ident: 10.1016/j.eswa.2023.122272_b0100 article-title: Development of the multi-objective adaptive guided differential evolution and optimization of the MO-ACOPF for wind/PV/tidal energy sources publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2021.107814 – volume: 208 year: 2020 ident: 10.1016/j.eswa.2023.122272_b0085 article-title: Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem publication-title: Knowledge-Based Systems doi: 10.1016/j.knosys.2020.106463 – volume: 1–21 year: 2023 ident: 10.1016/j.eswa.2023.122272_b0370 article-title: An elitist cuckoo search algorithm for combined heat and power economic dispatch publication-title: International Journal of Production Research – volume: 52 start-page: 190 year: 2017 ident: 10.1016/j.eswa.2023.122272_b0245 article-title: Combined heat and power economic dispatch using integrated civilized swarm optimization and Powell’s pattern search method publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2016.12.046 – volume: 31 start-page: 421 year: 2019 ident: 10.1016/j.eswa.2023.122272_b0260 article-title: Combined heat and power economic dispatch problem solution by implementation of whale optimization method publication-title: Neural Computing and Applications doi: 10.1007/s00521-017-3074-9 – volume: 71 start-page: 21 year: 2013 ident: 10.1016/j.eswa.2023.122272_b0005 article-title: A benders decomposition approach for a combined heat and power economic dispatch publication-title: Energy Conversion and Management doi: 10.1016/j.enconman.2013.03.013 – volume: 61 start-page: 227 issue: 3 year: 2002 ident: 10.1016/j.eswa.2023.122272_b0360 article-title: Evolutionary programming approach for combined heat and power dispatch publication-title: Electric Power Systems Research doi: 10.1016/S0378-7796(02)00028-7 – volume: 111 year: 2022 ident: 10.1016/j.eswa.2023.122272_b0290 article-title: A hybrid grasshopper optimization algorithm and harris hawks optimizer for combined heat and power economic dispatch problem publication-title: Engineering Applications of Artificial Intelligence doi: 10.1016/j.engappai.2022.104753 – volume: 84 start-page: 18 year: 2019 ident: 10.1016/j.eswa.2023.122272_b0205 article-title: A harmony search variant and a useful constraint handling method for the dynamic economic emission dispatch problems considering transmission loss publication-title: Engineering Applications of Artificial Intelligence doi: 10.1016/j.engappai.2019.05.005 – volume: 120 start-page: 36 year: 2017 ident: 10.1016/j.eswa.2023.122272_b0095 article-title: A GSO-based algorithm for combined heat and power dispatch problem with modified scrounger and ranger operators publication-title: Applied Thermal Engineering doi: 10.1016/j.applthermaleng.2017.03.114 – volume: 8 start-page: 276 issue: 2 year: 2020 ident: 10.1016/j.eswa.2023.122272_b0010 article-title: Optimal combined heat and power economic dispatch using stochastic fractal search algorithm publication-title: Journal of Modern Power Systems and Clean Energy doi: 10.35833/MPCE.2018.000753 – volume: 198 year: 2022 ident: 10.1016/j.eswa.2023.122272_b0090 article-title: Golden jackal optimization: A novel nature-inspired optimizer for engineering applications publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2022.116924 – volume: 73 start-page: 819 year: 2015 ident: 10.1016/j.eswa.2023.122272_b0045 article-title: Combined heat and power economic dispatch using opposition-based group search optimization publication-title: International Journal of Electrical Power & Energy Systems doi: 10.1016/j.ijepes.2015.06.023 – volume: 9 start-page: 1392 issue: 3 year: 1994 ident: 10.1016/j.eswa.2023.122272_b0305 article-title: Static economic dispatch for co-generation systems publication-title: IEEE Transactions on Power Systems doi: 10.1109/59.336125 – volume: 117 year: 2022 ident: 10.1016/j.eswa.2023.122272_b0175 article-title: Society-based Grey Wolf Optimizer for large scale Combined Heat and Power Economic Dispatch problem considering power losses publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2021.108351 – volume: 72 start-page: 189 year: 2018 ident: 10.1016/j.eswa.2023.122272_b0240 article-title: Hybridizing bat algorithm with artificial bee colony for combined heat and power economic dispatch publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2018.06.034 – volume: 80 start-page: 446 year: 2014 ident: 10.1016/j.eswa.2023.122272_b0155 article-title: Improved group search optimization method for solving CHPED in large scale power systems publication-title: Energy Conversion and Management doi: 10.1016/j.enconman.2014.01.051 – ident: 10.1016/j.eswa.2023.122272_b0235 doi: 10.1109/CEC.2017.7969307 – volume: 98 year: 2021 ident: 10.1016/j.eswa.2023.122272_b0115 article-title: Cooperation search algorithm: A novel metaheuristic evolutionary intelligence algorithm for numerical optimization and engineering optimization problems publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2020.106734 – volume: 192 start-page: 84 year: 2022 ident: 10.1016/j.eswa.2023.122272_b0170 article-title: Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems publication-title: Mathematics and Computers in Simulation doi: 10.1016/j.matcom.2021.08.013 – volume: 8 start-page: 25 year: 2014 ident: 10.1016/j.eswa.2023.122272_b0180 article-title: Combined heat and power economic dispatch problem using the invasive weed optimization algorithm publication-title: Frontiers in Energy doi: 10.1007/s11708-013-0276-4 – volume: 78 start-page: 138 year: 2016 ident: 10.1016/j.eswa.2023.122272_b0050 article-title: Group search optimization for combined heat and power economic dispatch publication-title: International Journal of Electrical Power & Energy Systems doi: 10.1016/j.ijepes.2015.11.069 – volume: 61 start-page: 1834 issue: 3 year: 2022 ident: 10.1016/j.eswa.2023.122272_b0320 article-title: A novel improved marine predators algorithm for combined heat and power economic dispatch problem publication-title: Alexandria Engineering Journal doi: 10.1016/j.aej.2021.07.001 – volume: 114 year: 2022 ident: 10.1016/j.eswa.2023.122272_b0355 article-title: Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems publication-title: Engineering Applications of Artificial Intelligence doi: 10.1016/j.engappai.2022.105082 – volume: 29 start-page: 713 issue: 10 year: 2007 ident: 10.1016/j.eswa.2023.122272_b0350 article-title: Combined heat and power economic dispatch by harmony search algorithm publication-title: International Journal of Electrical Power & Energy Systems doi: 10.1016/j.ijepes.2007.06.006 – ident: 10.1016/j.eswa.2023.122272_b0015 doi: 10.1109/CEC.2016.7744163 – volume: 221 year: 2023 ident: 10.1016/j.eswa.2023.122272_b0330 article-title: Social network search algorithm for combined heat and power economic dispatch publication-title: Electric Power Systems Research doi: 10.1016/j.epsr.2023.109400 – volume: 254 year: 2022 ident: 10.1016/j.eswa.2023.122272_b0300 article-title: A hybrid chameleon swarm algorithm with superiority of feasible solutions for optimal combined heat and power economic dispatch problem publication-title: Energy doi: 10.1016/j.energy.2022.124340 – volume: 117 year: 2023 ident: 10.1016/j.eswa.2023.122272_b0105 article-title: Economical operation of modern power grids incorporating uncertainties of renewable energy sources and load demand using the adaptive fitness-distance balance-based stochastic fractal search algorithm publication-title: Engineering Applications of Artificial Intelligence doi: 10.1016/j.engappai.2022.105501 – volume: 108 year: 2021 ident: 10.1016/j.eswa.2023.122272_b0075 article-title: Constraint-handling techniques within differential evolution for solving process engineering problems publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2021.107442 – volume: 47 start-page: 513 year: 2023 ident: 10.1016/j.eswa.2023.122272_b0110 article-title: Improvement of the Fitness-Distance Balance-Based Supply-Demand Optimization Algorithm for Solving the Combined Heat and Power Economic Dispatch Problem publication-title: Iranian Journal of Science and Technology, Transactions of Electrical Engineering doi: 10.1007/s40998-022-00560-y – volume: 113 year: 2021 ident: 10.1016/j.eswa.2023.122272_b0210 article-title: A niching differential evolution algorithm for the large-scale combined heat and power economic dispatch problem publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2021.108017 – volume: 105 start-page: 1303 year: 2015 ident: 10.1016/j.eswa.2023.122272_b0225 article-title: Crisscross optimization algorithm for solving combined heat and power economic dispatch problem publication-title: Energy Conversion and Management doi: 10.1016/j.enconman.2015.09.003 – volume: 197 year: 2022 ident: 10.1016/j.eswa.2023.122272_b0285 article-title: A ranking-based fuzzy adaptive hybrid crow search algorithm for combined heat and power economic dispatch publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2022.116625 – ident: 10.1016/j.eswa.2023.122272_b0345 doi: 10.1109/CEC.2014.6900380 – ident: 10.1016/j.eswa.2023.122272_b0020 doi: 10.1109/CEC.2017.7969336 – volume: 144 year: 2023 ident: 10.1016/j.eswa.2023.122272_b0275 article-title: Fitness-Distance-Constraint (FDC) based guide selection method for constrained optimization problems publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2023.110479 – volume: 38 start-page: 13527 issue: 11 year: 2011 ident: 10.1016/j.eswa.2023.122272_b0030 article-title: Bee colony optimization for combined heat and power economic dispatch publication-title: Expert Systems with Applications – volume: 11 start-page: 1778 issue: 4 year: 1996 ident: 10.1016/j.eswa.2023.122272_b0145 article-title: An algorithm for combined heat and power economic dispatch publication-title: IEEE Transactions on Power Systems doi: 10.1109/59.544642 – year: 2019 ident: 10.1016/j.eswa.2023.122272_b0375 – volume: 92 year: 2020 ident: 10.1016/j.eswa.2023.122272_b0125 article-title: A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO) publication-title: Engineering Applications of Artificial Intelligence doi: 10.1016/j.engappai.2020.103666 – volume: 44 start-page: 963 year: 2020 ident: 10.1016/j.eswa.2023.122272_b0280 article-title: Heat transfer search algorithm for combined heat and power economic dispatch publication-title: Iranian Journal of Science and Technology, Transactions of Electrical Engineering doi: 10.1007/s40998-019-00280-w – volume: 213 year: 2022 ident: 10.1016/j.eswa.2023.122272_b0150 article-title: A comprehensive performance analysis of meta-heuristic optimization techniques for effective organic rankine cycle design publication-title: Applied Thermal Engineering doi: 10.1016/j.applthermaleng.2022.118687 – volume: 43 start-page: 1 issue: 1 year: 2012 ident: 10.1016/j.eswa.2023.122272_b0035 article-title: Artificial immune system for combined heat and power economic dispatch publication-title: International Journal of Electrical Power & Energy Systems doi: 10.1016/j.ijepes.2012.05.016 – volume: 99 start-page: 465 year: 2016 ident: 10.1016/j.eswa.2023.122272_b0160 article-title: Solving combined heat and power economic dispatch problem using real coded genetic algorithm with improved Mühlenbein mutation publication-title: Applied Thermal Engineering doi: 10.1016/j.applthermaleng.2015.12.136 – volume: 237 start-page: 646 year: 2019 ident: 10.1016/j.eswa.2023.122272_b0385 article-title: Solving the combined heat and power economic dispatch problems by an improved genetic algorithm and a new constraint handling strategy publication-title: Applied Energy doi: 10.1016/j.apenergy.2019.01.056 – volume: 23 start-page: 9701 year: 2019 ident: 10.1016/j.eswa.2023.122272_b0130 article-title: Phasor particle swarm optimization: A simple and efficient variant of PSO publication-title: Soft Computing doi: 10.1007/s00500-018-3536-8 – volume: 37 start-page: 1231 issue: 11 year: 2009 ident: 10.1016/j.eswa.2023.122272_b0295 article-title: A novel selective particle swarm optimization approach for combined heat and power economic dispatch publication-title: Electric Power Components and Systems doi: 10.1080/15325000902994348 – volume: 102 year: 2021 ident: 10.1016/j.eswa.2023.122272_b0250 article-title: A combination of FA and SRPSO algorithm for combined heat and power economic dispatch publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2021.107088 – volume: 43 start-page: 2146 issue: 19 year: 2015 ident: 10.1016/j.eswa.2023.122272_b0040 article-title: Modified particle swarm optimization for non-smooth non-convex combined heat and power economic dispatch publication-title: Electric Power Components and Systems doi: 10.1080/15325008.2015.1076906 – volume: 74 start-page: 252 year: 2016 ident: 10.1016/j.eswa.2023.122272_b0185 article-title: Grey wolf optimization for combined heat and power dispatch with cogeneration systems publication-title: International Journal of Electrical Power & Energy Systems doi: 10.1016/j.ijepes.2015.07.031 – volume: 38 start-page: 996 issue: 8 year: 2010 ident: 10.1016/j.eswa.2023.122272_b0025 article-title: Combined heat and power economic dispatch by using differential evolution publication-title: Electric Power Components and Systems doi: 10.1080/15325000903571574 – ident: 10.1016/j.eswa.2023.122272_b0065 doi: 10.1109/CEC45853.2021.9504792 – volume: 9 start-page: 83695 year: 2021 ident: 10.1016/j.eswa.2023.122272_b0140 article-title: A novel heap-based optimizer for scheduling of large-scale combined heat and power economic dispatch publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3087449 – volume: 342 year: 2023 ident: 10.1016/j.eswa.2023.122272_b0380 article-title: A novel multi-agent based crisscross algorithm with hybrid neighboring topology for combined heat and power economic dispatch publication-title: Applied Energy doi: 10.1016/j.apenergy.2023.121167 – volume: 33 start-page: 2515 year: 2021 ident: 10.1016/j.eswa.2023.122272_b0070 article-title: A novel meta-heuristic search algorithm for solving optimization problems: Capuchin search algorithm publication-title: Neural Computing and Applications doi: 10.1007/s00521-020-05145-6 – volume: 8 start-page: 8857 year: 2022 ident: 10.1016/j.eswa.2023.122272_b0120 article-title: Improved SNS algorithm with high exploitative strategy for dynamic combined heat and power dispatch in co-generation systems publication-title: Energy Reports doi: 10.1016/j.egyr.2022.06.054 – volume: 95 start-page: 9 year: 2013 ident: 10.1016/j.eswa.2023.122272_b0230 article-title: Combined heat and power economic dispatch problem solution using particle swarm optimization with time varying acceleration coefficients publication-title: Electric Power Systems Research doi: 10.1016/j.epsr.2012.08.005 – volume: 8 start-page: 156 issue: 5 year: 2020 ident: 10.1016/j.eswa.2023.122272_b0195 article-title: Improving supply-demand-based optimization algorithm with FDB method: A comprehensive research on engineering design problems publication-title: Journal of Engineering Sciences and Design – volume: 613 start-page: 469 year: 2022 ident: 10.1016/j.eswa.2023.122272_b0215 article-title: Neighborhood-based differential evolution algorithm with direction induced strategy for the large-scale combined heat and power economic dispatch problem publication-title: Information Sciences doi: 10.1016/j.ins.2022.09.025 – volume: 57 start-page: 392 year: 2014 ident: 10.1016/j.eswa.2023.122272_b0310 article-title: Oppositional teaching learning based optimization approach for combined heat and power dispatch publication-title: International Journal of Electrical Power & Energy Systems doi: 10.1016/j.ijepes.2013.12.006 – volume: 81 start-page: 204 year: 2016 ident: 10.1016/j.eswa.2023.122272_b0270 article-title: Cuckoo search algorithm for combined heat and power economic dispatch publication-title: International Journal of Electrical Power & Energy Systems doi: 10.1016/j.ijepes.2016.02.026 |
| SSID | ssj0017007 |
| Score | 2.609666 |
| Snippet | Combined heat and power economic dispatch (CHPED) problem is one of the most widely handled, optimization problem by researchers in modern power systems. CHPED... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 122272 |
| SubjectTerms | Adaptive fitness distance balance based artificial rabbits optimization algorithm Combined heat and power economic dispatch Large-scale systems Prohibited operating zones Stability analysis |
| Title | Optimal solution of the combined heat and power economic dispatch problem by adaptive fitness-distance balance based artificial rabbits optimization algorithm |
| URI | https://dx.doi.org/10.1016/j.eswa.2023.122272 |
| Volume | 238 |
| WOSCitedRecordID | wos001111227800001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 issn: 0957-4174 databaseCode: AIEXJ dateStart: 19950101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: false ssIdentifier: ssj0017007 providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lj9MwELZKlwMX3ojlJR-4VVm5TlLHxxUsLA8tSHSl3iI7dtoufSlNyy4_hp_Ab2SmttOyoBUgcUmrpH6o82VmPE9CnnMJYqQn4igttY4SoeGdk2kZSWCXirGCMb2h9HtxcpINBvJjq_U95MKsJ2I2y87P5eK_khruAbExdfYvyN1MCjfgOxAdrkB2uP4R4T8AE5hiFohfJUQBwFpwCgb9Etmvqw-AHdI61qcmo69mAYx51PFNZlAzVUYtXGXwcY1MMTKobyIz0BgTuflcwpy4D1-LolJaozdijvvwWZ4dNRnOq3E9mv7kCcAyy7UvJh3S7HYc6o0B-OtndeFaRK-qYtzA-eUqmG9tNVJN_M47NaqUf3Kspmbc6c8nw0b8vF6tkVzw8HS4qnatHjzBsC-X9-lMcSEdZxv75GyaIkq6ru1PYO_cVY_5RVQ4q8XZgV1-wfpTPD7oYl4w3wrGJlzxE06M83L08ookuUb2uEhl1iZ7h2-OBm8bv5VgLkE_bMSnabmIwssr_V4V2lFv-rfJTX8uoYcOT3dIy87ukluh5wf1IuAe-ebhRQO86LykAC8a4EURXhTgRTfwogFeNMCLenhRfUEDvOhleFEPL7qBF93Ci3p40V140QZe98npq6P-i-PI9_iIipixOrJclnEcp4or1dVWFkkBRxStLM8Mlxb0Jwsqv-0pkBU805lkRitgK0aoXilNL35A2rP5zD4k1HTjMtVMciFNYrJMJyXjRsRFxkTPqHifdMPfnRe-AD72YZnkIdLxLEcS5Uii3JFon3SaMQtX_uXKX6eBirlXYJ1imgPorhj36B_HPSY3tu_GE9Kuq5V9Sq4X63q8rJ55bP4AK9XK6g |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Optimal+solution+of+the+combined+heat+and+power+economic+dispatch+problem+by+adaptive+fitness-distance+balance+based+artificial+rabbits+optimization+algorithm&rft.jtitle=Expert+systems+with+applications&rft.au=Ozkaya%2C+Burcin&rft.au=Duman%2C+Serhat&rft.au=Kahraman%2C+Hamdi+Tolga&rft.au=Guvenc%2C+Ugur&rft.date=2024-03-15&rft.pub=Elsevier+Ltd&rft.issn=0957-4174&rft.volume=238&rft_id=info:doi/10.1016%2Fj.eswa.2023.122272&rft.externalDocID=S0957417423027744 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0957-4174&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0957-4174&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0957-4174&client=summon |