Boosted sooty tern optimization algorithm for global optimization and feature selection
Feature selection (FS) represents an optimization problem that aims to simplify and improve the quality of highly dimensional datasets through selecting prominent features and eliminating redundant and irrelevant data to classify results better. The goals of FS comprise dimensionality reduction and...
Gespeichert in:
| Veröffentlicht in: | Expert systems with applications Jg. 213; S. 119015 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier Ltd
01.03.2023
|
| Schlagworte: | |
| ISSN: | 0957-4174, 1873-6793 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | Feature selection (FS) represents an optimization problem that aims to simplify and improve the quality of highly dimensional datasets through selecting prominent features and eliminating redundant and irrelevant data to classify results better. The goals of FS comprise dimensionality reduction and enhancing the classification accuracy in general, accompanied by great significance in different fields like data mining applications, pattern classification, and data analysis. Using powerful optimization algorithms is crucial to obtaining the best subsets of information in FS. Different metaheuristics, such as the Sooty Tern Optimization Algorithm (STOA), help to optimize the FS problem. However, such kind of techniques tends to converge in sub-optimal solutions. To overcome this problem in the STOA, an improved version called mSTOA is introduced. It employs the balancing exploration/exploitation strategy, self-adaptive of the control parameters strategy, and population reduction strategy. The proposed approach is proposed for solving the FS problem, but also it has been validated over benchmark optimization problems from the CEC 2020. To assess the performance of the mSTOA, it has also been tested with different algorithms. The experiments in terms of FS provide qualitative and quantitative evidence of the capabilities of the mSTOA for extracting the optimal subset of features. Besides, statistical analyses and no-parametric tests were also conducted to validate the result obtained by the mSTOA in optimization.
•An enhanced algorithm called the mSTOA that employs three strategies is proposed.•mSTOA efficiency and performance are verified on several benchmarks.•CEC’20 test suite are used for algorithm validation.•mSTOA is proposed as an alternate feature selection approach. |
|---|---|
| AbstractList | Feature selection (FS) represents an optimization problem that aims to simplify and improve the quality of highly dimensional datasets through selecting prominent features and eliminating redundant and irrelevant data to classify results better. The goals of FS comprise dimensionality reduction and enhancing the classification accuracy in general, accompanied by great significance in different fields like data mining applications, pattern classification, and data analysis. Using powerful optimization algorithms is crucial to obtaining the best subsets of information in FS. Different metaheuristics, such as the Sooty Tern Optimization Algorithm (STOA), help to optimize the FS problem. However, such kind of techniques tends to converge in sub-optimal solutions. To overcome this problem in the STOA, an improved version called mSTOA is introduced. It employs the balancing exploration/exploitation strategy, self-adaptive of the control parameters strategy, and population reduction strategy. The proposed approach is proposed for solving the FS problem, but also it has been validated over benchmark optimization problems from the CEC 2020. To assess the performance of the mSTOA, it has also been tested with different algorithms. The experiments in terms of FS provide qualitative and quantitative evidence of the capabilities of the mSTOA for extracting the optimal subset of features. Besides, statistical analyses and no-parametric tests were also conducted to validate the result obtained by the mSTOA in optimization.
•An enhanced algorithm called the mSTOA that employs three strategies is proposed.•mSTOA efficiency and performance are verified on several benchmarks.•CEC’20 test suite are used for algorithm validation.•mSTOA is proposed as an alternate feature selection approach. |
| ArticleNumber | 119015 |
| Author | Çelik, Emre Ghoniem, Rania M. Oliva, Diego Houssein, Essam H. Emam, Marwa M. |
| Author_xml | – sequence: 1 givenname: Essam H. orcidid: 0000-0002-8127-7233 surname: Houssein fullname: Houssein, Essam H. email: essam.halim@mu.edu.eg organization: Faculty of Computers and Information, Minia University, Minia, Egypt – sequence: 2 givenname: Diego orcidid: 0000-0001-8781-7993 surname: Oliva fullname: Oliva, Diego email: diego.oliva@cucei.udg.mx organization: Depto. Innovación Basada en la Información y el Conocimiento, Universidad de Guadalajara, CUCEI, Guadalajara, Jal, Mexico – sequence: 3 givenname: Emre orcidid: 0000-0002-2961-0035 surname: Çelik fullname: Çelik, Emre email: emrecelik@duzce.edu.tr organization: Department of Electrical and Electronics Engineering, Faculty of Engineering, Düzce University, Düzce, Turkey – sequence: 4 givenname: Marwa M. orcidid: 0000-0001-7399-6839 surname: Emam fullname: Emam, Marwa M. email: marwa.khalef@mu.edu.eg organization: Faculty of Computers and Information, Minia University, Minia, Egypt – sequence: 5 givenname: Rania M. orcidid: 0000-0002-7740-7402 surname: Ghoniem fullname: Ghoniem, Rania M. email: RMGhoniem@pnu.edu.sa organization: Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia |
| BookMark | eNp9kMtKAzEUhoNUsK2-gKu8wIxJZiYXcKPFGxTcKC5DOjmpKdNJSaJSn94Z68pFVwcO5_s5_zdDkz70gNAlJSUllF9tSkhfpmSEsZJSRWhzgqZUiqrgQlUTNCWqEUVNRX2GZiltCKGCEDFFb7chpAwWpxDyHmeIPQ677Lf-22Qfemy6dYg-v2-xCxGvu7Ay3b-L3mIHJn9EwAk6aMftOTp1pktw8Tfn6PX-7mXxWCyfH54WN8uireo6F5I1TjV0eEYxJwWsOJWSS64E47UlvLLU1cpVVjhLWmlBrqBRtOHOAOeNq-aIHXLbGFKK4PQu-q2Je02JHtXojR7V6FGNPqgZIPkPan3-LZOj8d1x9PqAwlDq00PUqfXQt2B9HJprG_wx_AccF4L0 |
| CitedBy_id | crossref_primary_10_1016_j_eswa_2025_128506 crossref_primary_10_1007_s12530_024_09585_6 crossref_primary_10_1016_j_heliyon_2024_e25848 crossref_primary_10_3390_math12152364 crossref_primary_10_1016_j_eswa_2024_123853 crossref_primary_10_1016_j_dajour_2023_100205 crossref_primary_10_53759_7669_jmc202505187 crossref_primary_10_1016_j_compbiomed_2024_108984 crossref_primary_10_3390_biomimetics9040205 crossref_primary_10_1007_s42235_024_00580_w crossref_primary_10_1016_j_asoc_2024_111494 crossref_primary_10_1007_s00521_025_11228_z crossref_primary_10_3390_biomimetics10060380 crossref_primary_10_1016_j_rineng_2025_105787 crossref_primary_10_1016_j_trd_2025_104662 crossref_primary_10_3390_math11112529 crossref_primary_10_1007_s42235_024_00515_5 crossref_primary_10_1016_j_talanta_2023_125021 crossref_primary_10_1080_21681163_2024_2420727 crossref_primary_10_1016_j_knosys_2025_113252 crossref_primary_10_1016_j_eswa_2023_122200 crossref_primary_10_1016_j_eswa_2024_124262 crossref_primary_10_3389_fdata_2024_1518939 crossref_primary_10_1007_s11063_024_11514_2 crossref_primary_10_1016_j_cma_2023_116664 crossref_primary_10_1007_s11760_025_03972_5 crossref_primary_10_1007_s10586_024_04501_8 crossref_primary_10_1186_s40537_023_00864_8 crossref_primary_10_1038_s41598_024_81144_0 crossref_primary_10_1007_s10462_025_11289_5 crossref_primary_10_1007_s10586_024_04381_y crossref_primary_10_1007_s11760_024_03741_w crossref_primary_10_1038_s41598_023_48479_6 crossref_primary_10_1016_j_compbiomed_2023_106966 crossref_primary_10_1007_s10614_025_10905_4 crossref_primary_10_32604_cmes_2025_058473 crossref_primary_10_3390_a17080342 crossref_primary_10_1016_j_cma_2025_117908 crossref_primary_10_1038_s41598_025_13007_1 crossref_primary_10_1016_j_knosys_2025_113286 crossref_primary_10_1002_itl2_70013 crossref_primary_10_1016_j_compbiomed_2024_109175 crossref_primary_10_1371_journal_pone_0295579 crossref_primary_10_1371_journal_pone_0286060 crossref_primary_10_3390_math11040979 crossref_primary_10_1016_j_bspc_2023_105423 crossref_primary_10_1016_j_compbiomed_2024_108329 crossref_primary_10_1016_j_compbiomed_2023_107827 crossref_primary_10_1016_j_jocs_2023_102201 crossref_primary_10_1111_exsy_13553 crossref_primary_10_1016_j_asoc_2023_111033 crossref_primary_10_1016_j_compbiomed_2024_108803 crossref_primary_10_1016_j_conbuildmat_2024_137992 crossref_primary_10_1016_j_eswa_2023_120404 crossref_primary_10_1016_j_eswa_2023_121218 crossref_primary_10_1038_s41598_024_66285_6 crossref_primary_10_1016_j_compbiomed_2023_107389 crossref_primary_10_3390_biomimetics9110701 crossref_primary_10_3390_math13040675 crossref_primary_10_1007_s12083_024_01880_y crossref_primary_10_1016_j_eswa_2023_120367 crossref_primary_10_1016_j_knosys_2024_112347 crossref_primary_10_1016_j_knosys_2024_112589 crossref_primary_10_1080_15325008_2023_2227194 crossref_primary_10_1016_j_compbiomed_2023_106691 crossref_primary_10_1038_s41598_024_57518_9 crossref_primary_10_1093_jcde_qwae035 crossref_primary_10_1007_s00521_024_09581_6 crossref_primary_10_1007_s10586_025_05228_w crossref_primary_10_1038_s41598_025_05477_0 crossref_primary_10_1016_j_knosys_2024_111616 crossref_primary_10_1016_j_knosys_2025_113978 crossref_primary_10_1016_j_swevo_2025_102082 crossref_primary_10_1145_3708353 crossref_primary_10_1007_s13042_025_02562_8 crossref_primary_10_1007_s10586_024_04950_1 crossref_primary_10_1007_s12530_023_09495_z crossref_primary_10_1016_j_swevo_2025_101908 crossref_primary_10_1016_j_compbiomed_2022_106404 crossref_primary_10_1016_j_compeleceng_2024_110025 crossref_primary_10_1016_j_displa_2024_102740 crossref_primary_10_1080_1448837X_2025_2544435 crossref_primary_10_1186_s40537_025_01140_7 crossref_primary_10_3390_biomimetics8020191 crossref_primary_10_1007_s00521_024_10577_5 crossref_primary_10_1016_j_eswa_2025_128017 crossref_primary_10_1016_j_knosys_2025_113062 crossref_primary_10_3390_biomimetics10090581 crossref_primary_10_1007_s00521_024_10694_1 |
| Cites_doi | 10.1016/j.asoc.2021.107389 10.1038/srep38660 10.1016/j.eswa.2022.116895 10.1016/j.ins.2017.09.028 10.1016/j.eswa.2012.05.008 10.1145/3219819.3219838 10.1016/j.future.2019.07.015 10.1016/j.advengsoft.2016.01.008 10.1016/j.eswa.2021.115936 10.1016/j.asoc.2021.108043 10.1145/2480741.2480752 10.1016/j.swevo.2020.100671 10.1016/j.advengsoft.2013.12.007 10.1007/s10489-020-01893-z 10.1007/s11042-018-6083-5 10.1016/j.bspc.2021.103401 10.1016/j.ins.2009.03.004 10.1016/j.eswa.2022.116512 10.1016/j.cma.2021.114194 10.1007/s10489-017-1010-4 10.1016/j.knosys.2015.07.006 10.1016/j.engappai.2019.03.021 10.1016/j.eswa.2021.116158 10.1016/j.knosys.2017.09.004 10.1016/j.matcom.2021.08.013 10.1007/s00521-021-05991-y 10.1007/s00521-021-06273-3 10.1016/j.seta.2020.100844 10.1016/j.neucom.2017.11.077 10.1016/j.future.2019.02.028 10.1109/JTEHM.2019.2923628 10.1016/j.eswa.2020.114159 10.1007/s10462-021-10009-z 10.1007/BF02985802 10.1016/j.cma.2022.114616 10.1016/j.engappai.2022.104920 10.1016/S0020-0190(02)00204-1 10.1016/j.patrec.2006.09.003 10.1016/j.endm.2018.07.016 10.1007/s00521-019-04611-0 10.1016/j.eswa.2021.116235 10.1016/j.asoc.2007.10.007 10.1016/j.engappai.2020.103731 10.1016/j.eswa.2022.116552 10.1016/j.eswa.2020.113364 10.1016/j.knosys.2021.106894 10.1016/j.compchemeng.2019.106656 10.1016/j.cad.2010.12.015 10.1016/j.eswa.2021.114685 10.1021/acsomega.7b01079 10.1016/j.knosys.2022.108457 10.1016/j.asoc.2016.08.011 10.1109/TEVC.2008.2009457 10.22266/ijies2017.0430.03 10.1016/j.eswa.2022.116550 10.32604/csse.2021.017536 10.1016/j.eswa.2022.116924 10.1007/s12652-020-02580-0 10.1007/s13369-021-06102-8 10.1016/j.future.2020.03.055 |
| ContentType | Journal Article |
| Copyright | 2022 Elsevier Ltd |
| Copyright_xml | – notice: 2022 Elsevier Ltd |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.eswa.2022.119015 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1873-6793 |
| ExternalDocumentID | 10_1016_j_eswa_2022_119015 S0957417422020334 |
| 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 AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AARIN AAXUO AAYFN ABBOA ABFNM ABMAC ABMVD ABUCO ABYKQ ACDAQ ACGFS ACHRH ACNTT ACRLP ACZNC ADBBV ADEZE ADTZH AEBSH AECPX AEKER AENEX AFKWA AFTJW AGHFR AGJBL AGUBO AGUMN AGYEJ AHHHB AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AJOXV ALEQD ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD APLSM AXJTR BJAXD BKOJK BLXMC BNSAS CS3 DU5 EBS EFJIC EFLBG 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 ROL RPZ SDF SDG SDP SDS SES SEW SPC SPCBC SSB SSD SSL SST SSV SSZ T5K TN5 ~G- 29G 9DU AAAKG AAQXK AATTM AAXKI AAYWO AAYXX ABJNI ABKBG ABUFD ABWVN ABXDB ACLOT ACNNM ACRPL ACVFH ADCNI ADJOM ADMUD ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP ASPBG AVWKF AZFZN CITATION EFKBS EJD FEDTE FGOYB G-2 HLZ HVGLF HZ~ R2- SBC SET WUQ XPP ZMT ~HD |
| ID | FETCH-LOGICAL-c344t-825f95117092f87eb618868697264d063d1f49f3d7fd0c8de8be59156fae665f3 |
| ISICitedReferencesCount | 101 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000877842900001&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 | Sat Nov 29 07:07:05 EST 2025 Tue Nov 18 21:18:31 EST 2025 Fri Feb 23 02:39:27 EST 2024 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Dimensionality reduction Sooty Tern Optimization Algorithm (STOA) Feature selection Optimization algorithm Metaheuristics |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c344t-825f95117092f87eb618868697264d063d1f49f3d7fd0c8de8be59156fae665f3 |
| ORCID | 0000-0002-8127-7233 0000-0002-2961-0035 0000-0001-7399-6839 0000-0002-7740-7402 0000-0001-8781-7993 |
| OpenAccessLink | https://hdl.handle.net/20.500.12684/12646 |
| ParticipantIDs | crossref_primary_10_1016_j_eswa_2022_119015 crossref_citationtrail_10_1016_j_eswa_2022_119015 elsevier_sciencedirect_doi_10_1016_j_eswa_2022_119015 |
| PublicationCentury | 2000 |
| PublicationDate | 2023-03-01 2023-03-00 |
| PublicationDateYYYYMMDD | 2023-03-01 |
| PublicationDate_xml | – month: 03 year: 2023 text: 2023-03-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationTitle | Expert systems with applications |
| PublicationYear | 2023 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Putra, Maulana, Saputro (b60) 2019 Martínez, Dussaut, Ponzoni (b48) 2018; 69 Oliva, Rodriguez-Esparza, Martins, Elaziz, Hinojosa, Ewees, Lu (b58) 2020 Braik (b6) 2021; 174 Sallam, Elsayed, Chakrabortty, Ryan (b65) 2020 Yadav, Sharma, Singh, Goyal (b75) 2019; 7 Ali, Fathy, Kassem (b4) 2020; 42 Abualigah, Abd Elaziz, Sumari, Geem, Gandomi (b3) 2022; 191 Houssein, Neggaz, Hosney, Mohamed, Hassaballah (b37) 2021; 33 Chopra, Ansari (b10) 2022; 198 Dutta, Riba, Lladós, Fornés (b16) 2019 Mirjalili (b50) 2015; 89 Pinheiro, Cavalcanti, Correa, Ren (b59) 2012; 39 Zamani, Nadimi-Shahraki, Gandomi (b77) 2022; 392 Abd Elaziz, Moemen, Hassanien, Xiong (b1) 2020; 97 Atwood, Towsley (b5) 2016 Ćrepinšek, Mernik (b11) 2013; 45 Dhiman, Garg, Nagar, Kumar, Dehghani (b14) 2021; 12 Jia, Li, Sun, Cao, Zhou (b43) 2021; 39 Zhao, Wang, Mirjalili (b78) 2022; 388 Deng, Li, Weng, Zhang (b13) 2019; 78 Neggaz, Houssein, Hussain (b57) 2020; 152 Morales-Castañeda, Zaldivar, Cuevas, Fausto, Rodríguez (b54) 2020; 54 Tharwat, Moemen, Hassanien (b69) 2016; 6 Houssein, Rezk, Fathy, Mahdy, Nassef (b38) 2022; 113 Wah, Ibrahim, Hamid, Abdul-Rahman, Fong (b70) 2018; 26 Nadimi-Shahraki, Zamani (b56) 2022; 198 Hashim, Houssein, Hussain, Mabrouk, Al-Atabany (b23) 2022; 192 Liu, Yu, Raj, Yi, Zou, Li (b47) 2015 Mirjalili, Mirjalili, Lewis (b52) 2014; 69 Houssein, Çelik, Mahdy, Ghoniem (b29) 2022; 195 Li, Chen, Wang, Mirjalili (b46) 2020 Wan, Wang, Ye, Lai (b71) 2016; 49 Braik, Hammouri, Atwan, Al-Betar, Awadallah (b7) 2022; 243 (pp. 302–310). Zainudin, Sulaiman, Mustapha, Perumal, Nazri, Mohamed, Manaf (b76) 2017; 10 Houssein, Emam, Ali (b30) 2021; 33 Singh, Sharma, Rajput, Mondal, Bose, Ram (b66) 2022; 11 Houssein, Saber, Ali, Wazery (b40) 2022; 191 Morales-Castañeda, Zaldívar, Cuevas, Rodríguez, Navarro (b55) 2021; 107 Hashim, Hussain, Houssein, Mabrouk, Al-Atabany (b25) 2021; 51 Wang, Yang, Teng, Jensen (b73) 2007; 28 Martínez, Razuc, Ponzoni (b49) 2019 Huang, Dun (b41) 2008; 8 Hashim, Houssein, Hussain, Mabrouk, Al-Atabany (b22) 2020; 32 Heidari, Mirjalili, Faris, Aljarah, Mafarja, Chen (b27) 2019; 97 Mirjalili, Lewis (b51) 2016; 95 Eiben, Schoenauer (b17) 2002; 82 Houssein, Saad, Hashim, Shaban, Hassaballah (b39) 2020; 94 Rodriguez-Perez, Vogt, Bajorath (b64) 2017; 2 Houssein, Abohashima, Elhoseny, Mohamed (b28) 2022 Goh, G. B., Siegel, C., Vishnu, A., & Hodas, N. (2018b). Using rule-based labels for weak supervised learning: a chemnet for transferable chemical property prediction. In Kennedy, Eberhart (b44) 1997 Houssein, Hassan, Al-Sayed, Nabil (b33) 2022; 47 Kılıç, Kaya, Yildirim (b45) 2021; 219 Thaher, Chantar, Too, Mafarja, Turabieh, Houssein (b68) 2022; 195 Hussien, Hassanien, Houssein (b42) 2017 Hancer, Xue, Zhang, Karaboga, Akay (b21) 2018; 422 Houssein, Hosney, Oliva, Mohamed, Hassaballah (b36) 2020; 133 Hashim, Houssein, Mabrouk, Al-Atabany, Mirjalili (b24) 2019; 101 Das, Abraham, Chakraborty, Konar (b12) 2009; 13 Hastie, Tibshirani, Friedman, Franklin (b26) 2005; 27 Houssein, Helmy, Oliva, Elngar, Shaban (b34) 2021; 167 Houssein, Helmy, Oliva, Jangir, Premkumar, Elngar, Shaban (b35) 2022; 73 Gupta, Saini (b20) 2017; 136 Wang, Feng, Zhu (b72) 2018; 48 Rashedi, Nezamabadi-Pour, Saryazdi (b62) 2009; 179 Suyanto, Ariyanto, Ariyanto (b67) 2022; 114 Goh, Sakloth, Siegel, Vishnu, Pfaendtner (b18) 2018 Houssein, Hassaballah, Ibrahim, AbdElminaam, Wazery (b32) 2022; 187 Abd Elaziz, Yousri (b2) 2021; 54 Mohamed, Hadi, Mohamed, Awad (b53) 2020 Rodrigues, Pereira, Almeida, Papa, Souza, Ramos, Yang (b63) 2013 Cai, Luo, Wang, Yang (b9) 2018; 300 Rao, Savsani, Vakharia (b61) 2011; 43 Dhiman, Kaur (b15) 2019; 82 Houssein, Emam, Ali (b31) 2022 Wilcoxon (b74) 1992 Byrne (b8) 1986; 40 Huang (10.1016/j.eswa.2022.119015_b41) 2008; 8 Kılıç (10.1016/j.eswa.2022.119015_b45) 2021; 219 Houssein (10.1016/j.eswa.2022.119015_b36) 2020; 133 Martínez (10.1016/j.eswa.2022.119015_b49) 2019 Zamani (10.1016/j.eswa.2022.119015_b77) 2022; 392 Houssein (10.1016/j.eswa.2022.119015_b33) 2022; 47 Nadimi-Shahraki (10.1016/j.eswa.2022.119015_b56) 2022; 198 Gupta (10.1016/j.eswa.2022.119015_b20) 2017; 136 Zainudin (10.1016/j.eswa.2022.119015_b76) 2017; 10 Zhao (10.1016/j.eswa.2022.119015_b78) 2022; 388 Chopra (10.1016/j.eswa.2022.119015_b10) 2022; 198 Houssein (10.1016/j.eswa.2022.119015_b40) 2022; 191 Rao (10.1016/j.eswa.2022.119015_b61) 2011; 43 Houssein (10.1016/j.eswa.2022.119015_b35) 2022; 73 Das (10.1016/j.eswa.2022.119015_b12) 2009; 13 Eiben (10.1016/j.eswa.2022.119015_b17) 2002; 82 Cai (10.1016/j.eswa.2022.119015_b9) 2018; 300 Hashim (10.1016/j.eswa.2022.119015_b25) 2021; 51 Kennedy (10.1016/j.eswa.2022.119015_b44) 1997 Hashim (10.1016/j.eswa.2022.119015_b23) 2022; 192 Liu (10.1016/j.eswa.2022.119015_b47) 2015 Oliva (10.1016/j.eswa.2022.119015_b58) 2020 Neggaz (10.1016/j.eswa.2022.119015_b57) 2020; 152 Wan (10.1016/j.eswa.2022.119015_b71) 2016; 49 Wang (10.1016/j.eswa.2022.119015_b72) 2018; 48 Houssein (10.1016/j.eswa.2022.119015_b29) 2022; 195 Wang (10.1016/j.eswa.2022.119015_b73) 2007; 28 10.1016/j.eswa.2022.119015_b19 Jia (10.1016/j.eswa.2022.119015_b43) 2021; 39 Hussien (10.1016/j.eswa.2022.119015_b42) 2017 Abualigah (10.1016/j.eswa.2022.119015_b3) 2022; 191 Byrne (10.1016/j.eswa.2022.119015_b8) 1986; 40 Abd Elaziz (10.1016/j.eswa.2022.119015_b1) 2020; 97 Heidari (10.1016/j.eswa.2022.119015_b27) 2019; 97 Wah (10.1016/j.eswa.2022.119015_b70) 2018; 26 Dhiman (10.1016/j.eswa.2022.119015_b15) 2019; 82 Tharwat (10.1016/j.eswa.2022.119015_b69) 2016; 6 Yadav (10.1016/j.eswa.2022.119015_b75) 2019; 7 Houssein (10.1016/j.eswa.2022.119015_b34) 2021; 167 Dutta (10.1016/j.eswa.2022.119015_b16) 2019 Wilcoxon (10.1016/j.eswa.2022.119015_b74) 1992 Braik (10.1016/j.eswa.2022.119015_b6) 2021; 174 Hastie (10.1016/j.eswa.2022.119015_b26) 2005; 27 Sallam (10.1016/j.eswa.2022.119015_b65) 2020 Suyanto (10.1016/j.eswa.2022.119015_b67) 2022; 114 Houssein (10.1016/j.eswa.2022.119015_b28) 2022 Mohamed (10.1016/j.eswa.2022.119015_b53) 2020 Houssein (10.1016/j.eswa.2022.119015_b38) 2022; 113 Hashim (10.1016/j.eswa.2022.119015_b24) 2019; 101 Martínez (10.1016/j.eswa.2022.119015_b48) 2018; 69 Abd Elaziz (10.1016/j.eswa.2022.119015_b2) 2021; 54 Mirjalili (10.1016/j.eswa.2022.119015_b51) 2016; 95 Houssein (10.1016/j.eswa.2022.119015_b32) 2022; 187 Singh (10.1016/j.eswa.2022.119015_b66) 2022; 11 Morales-Castañeda (10.1016/j.eswa.2022.119015_b55) 2021; 107 Putra (10.1016/j.eswa.2022.119015_b60) 2019 Houssein (10.1016/j.eswa.2022.119015_b30) 2021; 33 Ćrepinšek (10.1016/j.eswa.2022.119015_b11) 2013; 45 Deng (10.1016/j.eswa.2022.119015_b13) 2019; 78 Houssein (10.1016/j.eswa.2022.119015_b37) 2021; 33 Atwood (10.1016/j.eswa.2022.119015_b5) 2016 Hashim (10.1016/j.eswa.2022.119015_b22) 2020; 32 Braik (10.1016/j.eswa.2022.119015_b7) 2022; 243 Hancer (10.1016/j.eswa.2022.119015_b21) 2018; 422 Pinheiro (10.1016/j.eswa.2022.119015_b59) 2012; 39 Thaher (10.1016/j.eswa.2022.119015_b68) 2022; 195 Houssein (10.1016/j.eswa.2022.119015_b39) 2020; 94 Mirjalili (10.1016/j.eswa.2022.119015_b52) 2014; 69 Dhiman (10.1016/j.eswa.2022.119015_b14) 2021; 12 Houssein (10.1016/j.eswa.2022.119015_b31) 2022 Mirjalili (10.1016/j.eswa.2022.119015_b50) 2015; 89 Morales-Castañeda (10.1016/j.eswa.2022.119015_b54) 2020; 54 Rodriguez-Perez (10.1016/j.eswa.2022.119015_b64) 2017; 2 Rodrigues (10.1016/j.eswa.2022.119015_b63) 2013 Goh (10.1016/j.eswa.2022.119015_b18) 2018 Ali (10.1016/j.eswa.2022.119015_b4) 2020; 42 Li (10.1016/j.eswa.2022.119015_b46) 2020 Rashedi (10.1016/j.eswa.2022.119015_b62) 2009; 179 |
| References_xml | – volume: 8 start-page: 1381 year: 2008 end-page: 1391 ident: b41 article-title: A distributed pso–svm hybrid system with feature selection and parameter optimization publication-title: Applied Soft Computing – volume: 33 start-page: 13601 year: 2021 end-page: 13618 ident: b37 article-title: Enhanced harris hawks optimization with genetic operators for selection chemical descriptors and compounds activities publication-title: Neural Computing and Applications – volume: 187 year: 2022 ident: b32 article-title: An automatic arrhythmia classification model based on improved marine predators algorithm and convolutions neural networks publication-title: Expert Systems with Applications – volume: 39 start-page: 321 year: 2021 end-page: 335 ident: b43 article-title: Hybrid sooty tern optimization and differential evolution for feature selection publication-title: Computer System Science Engineering – volume: 7 start-page: 1 year: 2019 end-page: 7 ident: b75 article-title: Feature extraction based machine learning for human burn diagnosis from burn images publication-title: IEEE Journal of Translational Engineering in Health and Medicine – volume: 13 start-page: 526 year: 2009 end-page: 553 ident: b12 article-title: Differential evolution using a neighborhood-based mutation operator publication-title: IEEE Transactions on Evolutionary Computation – volume: 27 start-page: 83 year: 2005 end-page: 85 ident: b26 article-title: The elements of statistical learning: data mining, inference and prediction publication-title: The Mathematical Intelligencer – volume: 11 year: 2022 ident: b66 article-title: Parameter extraction of solar module using the sooty tern optimization algorithm publication-title: Electronics – start-page: 649 year: 2015 end-page: 655 ident: b47 article-title: Efficient autism spectrum disorder prediction with eye movement: A machine learning framework publication-title: 2015 international conference on affective computing and intelligent interaction – volume: 198 year: 2022 ident: b56 article-title: Dmde: Diversity-maintained multi-trial vector differential evolution algorithm for non-decomposition large-scale global optimization publication-title: Expert Systems with Applications – volume: 10 start-page: 21 year: 2017 end-page: 29 ident: b76 article-title: Feature selection optimization using hybrid relief-f with self-adaptive differential evolution publication-title: International Journal Intelligent Engineering System – volume: 192 start-page: 84 year: 2022 end-page: 110 ident: b23 article-title: Honey badger algorithm: New metaheuristic algorithm for solving optimization problems publication-title: Mathematics and Computers in Simulation – volume: 69 start-page: 46 year: 2014 end-page: 61 ident: b52 article-title: Grey wolf optimizer publication-title: Advances in Engineering Software – start-page: 1 year: 2020 end-page: 8 ident: b58 article-title: Balancing the influence of evolutionary operators for global optimization publication-title: 2020 IEEE congress on evolutionary computation – volume: 174 year: 2021 ident: b6 article-title: Chameleon swarm algorithm: A bio-inspired optimizer for solving engineering design problems publication-title: Expert Systems with Applications – volume: 101 start-page: 646 year: 2019 end-page: 667 ident: b24 article-title: Henry gas solubility optimization: A novel physics-based algorithm publication-title: Future Generation Computer Systems – year: 2019 ident: b60 article-title: Study on building machine learning model to predict biodegradable-ready materials publication-title: AIP conference proceedings, Vol. 2088 – volume: 43 start-page: 303 year: 2011 end-page: 315 ident: b61 article-title: Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems publication-title: Computer-Aided Design – volume: 12 start-page: 8457 year: 2021 end-page: 8482 ident: b14 article-title: A novel algorithm for global optimization: rat swarm optimizer publication-title: Journal of Ambient Intelligence and Humanized Computing – volume: 51 start-page: 1531 year: 2021 end-page: 1551 ident: b25 article-title: Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems publication-title: Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies – volume: 422 start-page: 462 year: 2018 end-page: 479 ident: b21 article-title: Pareto front feature selection based on artificial bee colony optimization publication-title: Information Sciences – start-page: 1 year: 2022 end-page: 19 ident: b31 article-title: An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm publication-title: Neural Computing and Applications – volume: 195 year: 2022 ident: b68 article-title: Boolean particle swarm optimization with various evolutionary population dynamics approaches for feature selection problems publication-title: Expert Systems with Applications – start-page: 5 year: 2017 end-page: 320 ident: b42 article-title: Swarming behaviour of salps algorithm for predicting chemical compound activities publication-title: In 2017 eighth international conference on intelligent computing and information systems, Vol. 31 – volume: 6 start-page: 1 year: 2016 end-page: 13 ident: b69 article-title: A predictive model for toxicity effects assessment of biotransformed hepatic drugs using iterative sampling method publication-title: Scientific Reports – volume: 388 year: 2022 ident: b78 article-title: Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications publication-title: Computer Methods in Applied Mechanics and Engineering – volume: 152 year: 2020 ident: b57 article-title: An efficient henry gas solubility optimization for feature selection publication-title: Expert Systems with Applications – volume: 32 start-page: 10759 year: 2020 end-page: 10771 ident: b22 article-title: A modified henry gas solubility optimization for solving motif discovery problem publication-title: Neural Computing and Applications – start-page: 1993 year: 2016 end-page: 2001 ident: b5 article-title: Diffusion-convolutional neural networks publication-title: Advances in neural information processing systems – volume: 243 year: 2022 ident: b7 article-title: White shark optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems publication-title: Knowledge-Based Systems – volume: 133 year: 2020 ident: b36 article-title: A novel hybrid harris hawks optimization and support vector machines for drug design and discovery publication-title: Computers & Chemical Engineering – volume: 54 year: 2020 ident: b54 article-title: A better balance in metaheuristic algorithms: Does it exist? publication-title: Swarm and Evolutionary Computation – volume: 82 start-page: 148 year: 2019 end-page: 174 ident: b15 article-title: Stoa: a bio-inspired based optimization algorithm for industrial engineering problems publication-title: Engineering Applications of Artificial Intelligence – volume: 219 year: 2021 ident: b45 article-title: A novel multi population based particle swarm optimization for feature selection publication-title: Knowledge-Based Systems – volume: 42 year: 2020 ident: b4 article-title: Optimal model predictive control for lfc of multi-interconnected plants comprising renewable energy sources based on recent sooty terns approach publication-title: Sustainable Energy Technologies and Assessments – volume: 82 start-page: 1 year: 2002 end-page: 6 ident: b17 article-title: Evolutionary computing publication-title: Information Processing Letters – volume: 113 year: 2022 ident: b38 article-title: A modified adaptive guided differential evolution algorithm applied to engineering applications publication-title: Engineering Applications of Artificial Intelligence – start-page: 1 year: 2020 end-page: 8 ident: b53 article-title: Evaluating the performance of adaptive gainingsharing knowledge based algorithm on cec 2020 benchmark problems publication-title: 2020 IEEE congress on evolutionary computation – year: 2022 ident: b28 article-title: Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision publication-title: Expert Systems with Applications – volume: 195 year: 2022 ident: b29 article-title: Self-adaptive equilibrium optimizer for solving global, combinatorial, engineering, and multi-objective problems publication-title: Expert Systems with Applications – volume: 95 start-page: 51 year: 2016 end-page: 67 ident: b51 article-title: The whale optimization algorithm publication-title: Advances in Engineering Software – volume: 2 start-page: 6371 year: 2017 end-page: 6379 ident: b64 article-title: Support vector machine classification and regression prioritize different structural features for binary compound activity and potency value prediction publication-title: ACS Omega – volume: 26 year: 2018 ident: b70 article-title: Feature selection methods: Case of filter and wrapper approaches for maximising classification accuracy publication-title: Pertanika Journal of Science & Technology – volume: 40 year: 1986 ident: b8 article-title: The taguchi approach to parameter design publication-title: ASQ’s Annual Quality Congress Proceedings – volume: 198 year: 2022 ident: b10 article-title: Golden jackal optimization: A novel nature-inspired optimizer for engineering applications publication-title: Expert Systems with Applications – volume: 78 year: 2019 ident: b13 article-title: Feature selection for text classification: A review publication-title: Multimedia Tools & Applications – volume: 191 year: 2022 ident: b3 article-title: Reptile search algorithm (rsa): A nature-inspired meta-heuristic optimizer publication-title: Expert Systems with Applications – volume: 48 start-page: 868 year: 2018 end-page: 885 ident: b72 article-title: Novel artificial bee colony based feature selection method for filtering redundant information publication-title: Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies – year: 2018 ident: b18 article-title: Multimodal deep neural networks using both engineered and learned representations for biodegradability prediction – volume: 136 start-page: 97 year: 2017 end-page: 120 ident: b20 article-title: A novel fuzzy-pso term weighting automatic query expansion approach using combined semantic filtering publication-title: Knowledge-Based Systems – start-page: 465 year: 2013 end-page: 468 ident: b63 article-title: Bcs: A binary cuckoo search algorithm for feature selection publication-title: 2013 IEEE international symposium on circuits and systems – volume: 300 start-page: 70 year: 2018 end-page: 79 ident: b9 article-title: Feature selection in machine learning: A new perspective publication-title: Neurocomputing – volume: 45 start-page: 1 year: 2013 end-page: 33 ident: b11 article-title: Exploration and exploitation in evolutionary algorithms publication-title: ACM Computer Surveys – volume: 73 year: 2022 ident: b35 article-title: An efficient multi-thresholding based covid-19 ct images segmentation approach using an improved equilibrium optimizer publication-title: Biomedical Signal Processing and Control – volume: 94 year: 2020 ident: b39 article-title: Lévy flight distribution: A new metaheuristic algorithm for solving engineering optimization problems publication-title: Engineering Applications of Artificial Intelligence – volume: 114 year: 2022 ident: b67 article-title: Komodo mlipir algorithm publication-title: Applied Soft Computing – volume: 392 year: 2022 ident: b77 article-title: Starling murmuration optimizer: A novel bio-inspired algorithm for global and engineering optimization publication-title: Computer Methods in Applied Mechanics and Engineering – volume: 107 year: 2021 ident: b55 article-title: Population management in metaheuristic algorithms: Could less be more? publication-title: Applied Soft Computing – volume: 179 start-page: 2232 year: 2009 end-page: 2248 ident: b62 article-title: Gsa: a gravitational search algorithm publication-title: Information Sciences – volume: 97 year: 2020 ident: b1 article-title: Toxicity risks evaluation of unknown fda biotransformed drugs based on a multi-objective feature selection approach publication-title: Applied Soft Computing – start-page: 1 year: 2020 end-page: 8 ident: b65 article-title: Improved multi-operator differential evolution algorithm for solving unconstrained problems publication-title: 2020 IEEE congress on evolutionary computation – reference: (pp. 302–310). – volume: 167 year: 2021 ident: b34 article-title: A novel black widow optimization algorithm for multilevel thresholding image segmentation publication-title: Expert Systems with Applications – reference: Goh, G. B., Siegel, C., Vishnu, A., & Hodas, N. (2018b). Using rule-based labels for weak supervised learning: a chemnet for transferable chemical property prediction. In – year: 2019 ident: b49 article-title: Modesus: A machine learning tool for selection of molecular descriptors in qsar studies applied to molecular informatics publication-title: BioMed Research International – volume: 28 start-page: 459 year: 2007 end-page: 471 ident: b73 article-title: Feature selection based on rough sets and particle swarm optimization publication-title: Pattern Recognition Letters – start-page: 6 year: 1992 end-page: 202 ident: b74 article-title: Individual comparisons by ranking methods publication-title: Breakthroughs in statistics, Vol. 19 – start-page: 4104 year: 1997 end-page: 4108 ident: b44 article-title: A discrete binary version of the particle swarm algorithm publication-title: 1997 IEEE international conference on systems, man, and cybernetics, Vol. 5 – volume: 39 start-page: 12851 year: 2012 end-page: 12857 ident: b59 article-title: A global-ranking local feature selection method for text categorization publication-title: Expert Systems with Applications – volume: 97 start-page: 849 year: 2019 end-page: 872 ident: b27 article-title: Harris hawks optimization: Algorithm and applications publication-title: Future Generation Computer Systems – volume: 47 start-page: 2555 year: 2022 end-page: 2572 ident: b33 article-title: Gene selection for microarray cancer classification based on manta rays foraging optimization and support vector machines publication-title: Arabian Journal for Science and Engineering – year: 2020 ident: b46 article-title: Slime mould algorithm: A new method for stochastic optimization publication-title: Future Generation Computer Systems – volume: 49 start-page: 248 year: 2016 end-page: 258 ident: b71 article-title: A feature selection method based on modified binary coded ant colony optimization algorithm publication-title: Applied Soft Computing – volume: 54 start-page: 4685 year: 2021 end-page: 4730 ident: b2 article-title: Automatic selection of heavy-tailed distributions-based synergy henry gas solubility and harris hawk optimizer for feature selection: case study drug design and discovery publication-title: Artificial Intelligence Review – volume: 33 start-page: 16899 year: 2021 end-page: 16919 ident: b30 article-title: Improved manta ray foraging optimization for multi-level thresholding using covid-19 ct images publication-title: Neural Computing and Applications – volume: 191 year: 2022 ident: b40 article-title: Centroid mutation-based search and rescue optimization algorithm for feature selection and classification publication-title: Expert Systems with Applications – volume: 89 start-page: 228 year: 2015 end-page: 249 ident: b50 article-title: Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm publication-title: Knowledge-Based Systems – volume: 69 start-page: 117 year: 2018 end-page: 124 ident: b48 article-title: Biclustering as strategy for improving feature selection in consensus qsar modeling publication-title: Electronic Notes in Discrete Mathematics – start-page: 1 year: 2019 end-page: 18 ident: b16 article-title: Hierarchical stochastic graphlet embedding for graph-based pattern recognition publication-title: Neural Computing and Applications – volume: 107 year: 2021 ident: 10.1016/j.eswa.2022.119015_b55 article-title: Population management in metaheuristic algorithms: Could less be more? publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2021.107389 – start-page: 465 year: 2013 ident: 10.1016/j.eswa.2022.119015_b63 article-title: Bcs: A binary cuckoo search algorithm for feature selection – volume: 6 start-page: 1 year: 2016 ident: 10.1016/j.eswa.2022.119015_b69 article-title: A predictive model for toxicity effects assessment of biotransformed hepatic drugs using iterative sampling method publication-title: Scientific Reports doi: 10.1038/srep38660 – volume: 198 year: 2022 ident: 10.1016/j.eswa.2022.119015_b56 article-title: Dmde: Diversity-maintained multi-trial vector differential evolution algorithm for non-decomposition large-scale global optimization publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2022.116895 – volume: 422 start-page: 462 year: 2018 ident: 10.1016/j.eswa.2022.119015_b21 article-title: Pareto front feature selection based on artificial bee colony optimization publication-title: Information Sciences doi: 10.1016/j.ins.2017.09.028 – volume: 39 start-page: 12851 year: 2012 ident: 10.1016/j.eswa.2022.119015_b59 article-title: A global-ranking local feature selection method for text categorization publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2012.05.008 – start-page: 649 year: 2015 ident: 10.1016/j.eswa.2022.119015_b47 article-title: Efficient autism spectrum disorder prediction with eye movement: A machine learning framework – ident: 10.1016/j.eswa.2022.119015_b19 doi: 10.1145/3219819.3219838 – start-page: 1 year: 2022 ident: 10.1016/j.eswa.2022.119015_b31 article-title: An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm publication-title: Neural Computing and Applications – start-page: 1 year: 2020 ident: 10.1016/j.eswa.2022.119015_b65 article-title: Improved multi-operator differential evolution algorithm for solving unconstrained problems – volume: 101 start-page: 646 year: 2019 ident: 10.1016/j.eswa.2022.119015_b24 article-title: Henry gas solubility optimization: A novel physics-based algorithm publication-title: Future Generation Computer Systems doi: 10.1016/j.future.2019.07.015 – volume: 26 year: 2018 ident: 10.1016/j.eswa.2022.119015_b70 article-title: Feature selection methods: Case of filter and wrapper approaches for maximising classification accuracy publication-title: Pertanika Journal of Science & Technology – volume: 95 start-page: 51 year: 2016 ident: 10.1016/j.eswa.2022.119015_b51 article-title: The whale optimization algorithm publication-title: Advances in Engineering Software doi: 10.1016/j.advengsoft.2016.01.008 – volume: 187 year: 2022 ident: 10.1016/j.eswa.2022.119015_b32 article-title: An automatic arrhythmia classification model based on improved marine predators algorithm and convolutions neural networks publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2021.115936 – volume: 114 year: 2022 ident: 10.1016/j.eswa.2022.119015_b67 article-title: Komodo mlipir algorithm publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2021.108043 – start-page: 1993 year: 2016 ident: 10.1016/j.eswa.2022.119015_b5 article-title: Diffusion-convolutional neural networks – volume: 45 start-page: 1 year: 2013 ident: 10.1016/j.eswa.2022.119015_b11 article-title: Exploration and exploitation in evolutionary algorithms publication-title: ACM Computer Surveys doi: 10.1145/2480741.2480752 – volume: 54 year: 2020 ident: 10.1016/j.eswa.2022.119015_b54 article-title: A better balance in metaheuristic algorithms: Does it exist? publication-title: Swarm and Evolutionary Computation doi: 10.1016/j.swevo.2020.100671 – volume: 69 start-page: 46 year: 2014 ident: 10.1016/j.eswa.2022.119015_b52 article-title: Grey wolf optimizer publication-title: Advances in Engineering Software doi: 10.1016/j.advengsoft.2013.12.007 – volume: 51 start-page: 1531 year: 2021 ident: 10.1016/j.eswa.2022.119015_b25 article-title: Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems publication-title: Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies doi: 10.1007/s10489-020-01893-z – volume: 40 issue: 168 year: 1986 ident: 10.1016/j.eswa.2022.119015_b8 article-title: The taguchi approach to parameter design publication-title: ASQ’s Annual Quality Congress Proceedings – volume: 78 year: 2019 ident: 10.1016/j.eswa.2022.119015_b13 article-title: Feature selection for text classification: A review publication-title: Multimedia Tools & Applications doi: 10.1007/s11042-018-6083-5 – volume: 73 year: 2022 ident: 10.1016/j.eswa.2022.119015_b35 article-title: An efficient multi-thresholding based covid-19 ct images segmentation approach using an improved equilibrium optimizer publication-title: Biomedical Signal Processing and Control doi: 10.1016/j.bspc.2021.103401 – volume: 179 start-page: 2232 year: 2009 ident: 10.1016/j.eswa.2022.119015_b62 article-title: Gsa: a gravitational search algorithm publication-title: Information Sciences doi: 10.1016/j.ins.2009.03.004 – start-page: 5 year: 2017 ident: 10.1016/j.eswa.2022.119015_b42 article-title: Swarming behaviour of salps algorithm for predicting chemical compound activities – year: 2022 ident: 10.1016/j.eswa.2022.119015_b28 article-title: Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2022.116512 – volume: 97 year: 2020 ident: 10.1016/j.eswa.2022.119015_b1 article-title: Toxicity risks evaluation of unknown fda biotransformed drugs based on a multi-objective feature selection approach publication-title: Applied Soft Computing – volume: 388 year: 2022 ident: 10.1016/j.eswa.2022.119015_b78 article-title: Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications publication-title: Computer Methods in Applied Mechanics and Engineering doi: 10.1016/j.cma.2021.114194 – volume: 48 start-page: 868 year: 2018 ident: 10.1016/j.eswa.2022.119015_b72 article-title: Novel artificial bee colony based feature selection method for filtering redundant information publication-title: Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies doi: 10.1007/s10489-017-1010-4 – volume: 89 start-page: 228 year: 2015 ident: 10.1016/j.eswa.2022.119015_b50 article-title: Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm publication-title: Knowledge-Based Systems doi: 10.1016/j.knosys.2015.07.006 – volume: 82 start-page: 148 year: 2019 ident: 10.1016/j.eswa.2022.119015_b15 article-title: Stoa: a bio-inspired based optimization algorithm for industrial engineering problems publication-title: Engineering Applications of Artificial Intelligence doi: 10.1016/j.engappai.2019.03.021 – volume: 191 year: 2022 ident: 10.1016/j.eswa.2022.119015_b3 article-title: Reptile search algorithm (rsa): A nature-inspired meta-heuristic optimizer publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2021.116158 – start-page: 6 year: 1992 ident: 10.1016/j.eswa.2022.119015_b74 article-title: Individual comparisons by ranking methods – volume: 136 start-page: 97 year: 2017 ident: 10.1016/j.eswa.2022.119015_b20 article-title: A novel fuzzy-pso term weighting automatic query expansion approach using combined semantic filtering publication-title: Knowledge-Based Systems doi: 10.1016/j.knosys.2017.09.004 – volume: 192 start-page: 84 year: 2022 ident: 10.1016/j.eswa.2022.119015_b23 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: 33 start-page: 13601 year: 2021 ident: 10.1016/j.eswa.2022.119015_b37 article-title: Enhanced harris hawks optimization with genetic operators for selection chemical descriptors and compounds activities publication-title: Neural Computing and Applications doi: 10.1007/s00521-021-05991-y – volume: 33 start-page: 16899 year: 2021 ident: 10.1016/j.eswa.2022.119015_b30 article-title: Improved manta ray foraging optimization for multi-level thresholding using covid-19 ct images publication-title: Neural Computing and Applications doi: 10.1007/s00521-021-06273-3 – volume: 42 year: 2020 ident: 10.1016/j.eswa.2022.119015_b4 article-title: Optimal model predictive control for lfc of multi-interconnected plants comprising renewable energy sources based on recent sooty terns approach publication-title: Sustainable Energy Technologies and Assessments doi: 10.1016/j.seta.2020.100844 – volume: 300 start-page: 70 year: 2018 ident: 10.1016/j.eswa.2022.119015_b9 article-title: Feature selection in machine learning: A new perspective publication-title: Neurocomputing doi: 10.1016/j.neucom.2017.11.077 – volume: 97 start-page: 849 year: 2019 ident: 10.1016/j.eswa.2022.119015_b27 article-title: Harris hawks optimization: Algorithm and applications publication-title: Future Generation Computer Systems doi: 10.1016/j.future.2019.02.028 – volume: 7 start-page: 1 year: 2019 ident: 10.1016/j.eswa.2022.119015_b75 article-title: Feature extraction based machine learning for human burn diagnosis from burn images publication-title: IEEE Journal of Translational Engineering in Health and Medicine doi: 10.1109/JTEHM.2019.2923628 – year: 2019 ident: 10.1016/j.eswa.2022.119015_b60 article-title: Study on building machine learning model to predict biodegradable-ready materials – start-page: 1 year: 2020 ident: 10.1016/j.eswa.2022.119015_b53 article-title: Evaluating the performance of adaptive gainingsharing knowledge based algorithm on cec 2020 benchmark problems – volume: 167 year: 2021 ident: 10.1016/j.eswa.2022.119015_b34 article-title: A novel black widow optimization algorithm for multilevel thresholding image segmentation publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2020.114159 – start-page: 1 year: 2019 ident: 10.1016/j.eswa.2022.119015_b16 article-title: Hierarchical stochastic graphlet embedding for graph-based pattern recognition publication-title: Neural Computing and Applications – issue: 2019 year: 2019 ident: 10.1016/j.eswa.2022.119015_b49 article-title: Modesus: A machine learning tool for selection of molecular descriptors in qsar studies applied to molecular informatics publication-title: BioMed Research International – volume: 54 start-page: 4685 year: 2021 ident: 10.1016/j.eswa.2022.119015_b2 article-title: Automatic selection of heavy-tailed distributions-based synergy henry gas solubility and harris hawk optimizer for feature selection: case study drug design and discovery publication-title: Artificial Intelligence Review doi: 10.1007/s10462-021-10009-z – volume: 27 start-page: 83 year: 2005 ident: 10.1016/j.eswa.2022.119015_b26 article-title: The elements of statistical learning: data mining, inference and prediction publication-title: The Mathematical Intelligencer doi: 10.1007/BF02985802 – volume: 392 year: 2022 ident: 10.1016/j.eswa.2022.119015_b77 article-title: Starling murmuration optimizer: A novel bio-inspired algorithm for global and engineering optimization publication-title: Computer Methods in Applied Mechanics and Engineering doi: 10.1016/j.cma.2022.114616 – volume: 113 year: 2022 ident: 10.1016/j.eswa.2022.119015_b38 article-title: A modified adaptive guided differential evolution algorithm applied to engineering applications publication-title: Engineering Applications of Artificial Intelligence doi: 10.1016/j.engappai.2022.104920 – volume: 82 start-page: 1 year: 2002 ident: 10.1016/j.eswa.2022.119015_b17 article-title: Evolutionary computing publication-title: Information Processing Letters doi: 10.1016/S0020-0190(02)00204-1 – volume: 28 start-page: 459 year: 2007 ident: 10.1016/j.eswa.2022.119015_b73 article-title: Feature selection based on rough sets and particle swarm optimization publication-title: Pattern Recognition Letters doi: 10.1016/j.patrec.2006.09.003 – volume: 69 start-page: 117 year: 2018 ident: 10.1016/j.eswa.2022.119015_b48 article-title: Biclustering as strategy for improving feature selection in consensus qsar modeling publication-title: Electronic Notes in Discrete Mathematics doi: 10.1016/j.endm.2018.07.016 – volume: 32 start-page: 10759 year: 2020 ident: 10.1016/j.eswa.2022.119015_b22 article-title: A modified henry gas solubility optimization for solving motif discovery problem publication-title: Neural Computing and Applications doi: 10.1007/s00521-019-04611-0 – volume: 191 year: 2022 ident: 10.1016/j.eswa.2022.119015_b40 article-title: Centroid mutation-based search and rescue optimization algorithm for feature selection and classification publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2021.116235 – volume: 8 start-page: 1381 year: 2008 ident: 10.1016/j.eswa.2022.119015_b41 article-title: A distributed pso–svm hybrid system with feature selection and parameter optimization publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2007.10.007 – volume: 11 issue: 564 year: 2022 ident: 10.1016/j.eswa.2022.119015_b66 article-title: Parameter extraction of solar module using the sooty tern optimization algorithm publication-title: Electronics – volume: 94 year: 2020 ident: 10.1016/j.eswa.2022.119015_b39 article-title: Lévy flight distribution: A new metaheuristic algorithm for solving engineering optimization problems publication-title: Engineering Applications of Artificial Intelligence doi: 10.1016/j.engappai.2020.103731 – volume: 195 year: 2022 ident: 10.1016/j.eswa.2022.119015_b29 article-title: Self-adaptive equilibrium optimizer for solving global, combinatorial, engineering, and multi-objective problems publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2022.116552 – volume: 152 year: 2020 ident: 10.1016/j.eswa.2022.119015_b57 article-title: An efficient henry gas solubility optimization for feature selection publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2020.113364 – volume: 219 year: 2021 ident: 10.1016/j.eswa.2022.119015_b45 article-title: A novel multi population based particle swarm optimization for feature selection publication-title: Knowledge-Based Systems doi: 10.1016/j.knosys.2021.106894 – volume: 133 year: 2020 ident: 10.1016/j.eswa.2022.119015_b36 article-title: A novel hybrid harris hawks optimization and support vector machines for drug design and discovery publication-title: Computers & Chemical Engineering doi: 10.1016/j.compchemeng.2019.106656 – volume: 43 start-page: 303 year: 2011 ident: 10.1016/j.eswa.2022.119015_b61 article-title: Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems publication-title: Computer-Aided Design doi: 10.1016/j.cad.2010.12.015 – volume: 174 year: 2021 ident: 10.1016/j.eswa.2022.119015_b6 article-title: Chameleon swarm algorithm: A bio-inspired optimizer for solving engineering design problems publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2021.114685 – year: 2018 ident: 10.1016/j.eswa.2022.119015_b18 – volume: 2 start-page: 6371 year: 2017 ident: 10.1016/j.eswa.2022.119015_b64 article-title: Support vector machine classification and regression prioritize different structural features for binary compound activity and potency value prediction publication-title: ACS Omega doi: 10.1021/acsomega.7b01079 – volume: 243 year: 2022 ident: 10.1016/j.eswa.2022.119015_b7 article-title: White shark optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems publication-title: Knowledge-Based Systems doi: 10.1016/j.knosys.2022.108457 – start-page: 1 year: 2020 ident: 10.1016/j.eswa.2022.119015_b58 article-title: Balancing the influence of evolutionary operators for global optimization – volume: 49 start-page: 248 year: 2016 ident: 10.1016/j.eswa.2022.119015_b71 article-title: A feature selection method based on modified binary coded ant colony optimization algorithm publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2016.08.011 – volume: 13 start-page: 526 year: 2009 ident: 10.1016/j.eswa.2022.119015_b12 article-title: Differential evolution using a neighborhood-based mutation operator publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2008.2009457 – volume: 10 start-page: 21 year: 2017 ident: 10.1016/j.eswa.2022.119015_b76 article-title: Feature selection optimization using hybrid relief-f with self-adaptive differential evolution publication-title: International Journal Intelligent Engineering System doi: 10.22266/ijies2017.0430.03 – volume: 195 year: 2022 ident: 10.1016/j.eswa.2022.119015_b68 article-title: Boolean particle swarm optimization with various evolutionary population dynamics approaches for feature selection problems publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2022.116550 – volume: 39 start-page: 321 year: 2021 ident: 10.1016/j.eswa.2022.119015_b43 article-title: Hybrid sooty tern optimization and differential evolution for feature selection publication-title: Computer System Science Engineering doi: 10.32604/csse.2021.017536 – volume: 198 year: 2022 ident: 10.1016/j.eswa.2022.119015_b10 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 – start-page: 4104 year: 1997 ident: 10.1016/j.eswa.2022.119015_b44 article-title: A discrete binary version of the particle swarm algorithm – volume: 12 start-page: 8457 year: 2021 ident: 10.1016/j.eswa.2022.119015_b14 article-title: A novel algorithm for global optimization: rat swarm optimizer publication-title: Journal of Ambient Intelligence and Humanized Computing doi: 10.1007/s12652-020-02580-0 – volume: 47 start-page: 2555 year: 2022 ident: 10.1016/j.eswa.2022.119015_b33 article-title: Gene selection for microarray cancer classification based on manta rays foraging optimization and support vector machines publication-title: Arabian Journal for Science and Engineering doi: 10.1007/s13369-021-06102-8 – year: 2020 ident: 10.1016/j.eswa.2022.119015_b46 article-title: Slime mould algorithm: A new method for stochastic optimization publication-title: Future Generation Computer Systems doi: 10.1016/j.future.2020.03.055 |
| SSID | ssj0017007 |
| Score | 2.6604376 |
| Snippet | Feature selection (FS) represents an optimization problem that aims to simplify and improve the quality of highly dimensional datasets through selecting... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 119015 |
| SubjectTerms | Dimensionality reduction Feature selection Metaheuristics Optimization algorithm Sooty Tern Optimization Algorithm (STOA) |
| Title | Boosted sooty tern optimization algorithm for global optimization and feature selection |
| URI | https://dx.doi.org/10.1016/j.eswa.2022.119015 |
| Volume | 213 |
| WOSCitedRecordID | wos000877842900001&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 customDbUrl: eissn: 1873-6793 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017007 issn: 0957-4174 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bb9MwFLbKxgMv3NHGTX7gLUqVOBfbjwMVDaRNSAzRt8hJ7NGqSaYk6ybx5zmO7aQMNAESL1Fl2XXq8_Xky7ki9CbkSuhCZ76MWeLHSSD9nKrA50FOgY6EkiRiaDZBT0_Zcsk_zWbfXS7MdkPrml1f84v_KmoYA2Hr1Nm_EPf4pTAAn0HocAWxw_WPBP-2GfI2vK5pgGBre5_XgF6obMKlJzbnTbvqv1VDhKEtCPLzjLr0lBwqfnrd0CfHCW89Bu7JtrdVoF1-3I4nfMRKc9l1tpvmoutE5R3PJ6vuamt8TSt53rhR7bdnVG5WRklXU2juojLQPRHtlfBO5rvmChJN8VrGhubyaKagJWOMpH4cmn49c2lUMaORn1LTP9HpamISV3_R-8YEsZ7L7koXkyIEHgWa6UxPuTH28LPeTO9FiPbCRvEdtE9owkEl7h99WCw_jk4oGphse3dzNufKhAfe3On3vGaHq5w9RPftSwY-MuB4hGayfoweuAYe2OrzJ-irxQoesIL1_eNdJOARKxiwgg1WbsyoS2yxgkesPEVf3i_O3h37ttOGX0Rx3PuMJAqoNvxiThTTbXJCxlKWcgp8uQQWW4Yq5ioqqSqDgpWS5TLh8OqvhEzTREXP0F7d1PIAYRHGEv79XFBeADnkOVBKzZNyxQSVETlEoTunrLBl6HU3lE3m4g3XmT7bTJ9tZs72EHnjmgtThOXW2Yk7_szSSEMPM0DLLeue_-O6F-jeBPSXaK9vL-UrdLfY9quufW1B9QOq8Zgo |
| 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=Boosted+sooty+tern+optimization+algorithm+for+global+optimization+and+feature+selection&rft.jtitle=Expert+systems+with+applications&rft.au=Houssein%2C+Essam+H.&rft.au=Oliva%2C+Diego&rft.au=%C3%87elik%2C+Emre&rft.au=Emam%2C+Marwa+M.&rft.date=2023-03-01&rft.pub=Elsevier+Ltd&rft.issn=0957-4174&rft.eissn=1873-6793&rft.volume=213&rft_id=info:doi/10.1016%2Fj.eswa.2022.119015&rft.externalDocID=S0957417422020334 |
| 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 |