An effective teaching-learning-based cuckoo search algorithm for parameter optimization problems in structure designing and machining processes
•We propose a teaching-learning-based cuckoo search algorithm.•Solving the parameter optimization in structure designing and machining process.•Several famous cases are adopted and solved to illustrate the effectiveness of the proposed algorithm.•The experimental results show that the proposed appro...
Gespeichert in:
| Veröffentlicht in: | Applied soft computing Jg. 36; S. 349 - 356 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier B.V
01.11.2015
|
| Schlagworte: | |
| ISSN: | 1568-4946, 1872-9681 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | •We propose a teaching-learning-based cuckoo search algorithm.•Solving the parameter optimization in structure designing and machining process.•Several famous cases are adopted and solved to illustrate the effectiveness of the proposed algorithm.•The experimental results show that the proposed approach outperforms other algorithms and has achieved significant improvement.
The optimum selection of parameters is great important for the final quality of product in modern industrial manufacturing process. In order to achieve highly product quality, an effective optimization technique is indispensable. In this paper, a new hybrid algorithm named teaching-learning-based cuckoo search (TLCS) is proposed for parameter optimization problems in structure designing as well as machining processes. The TLCS combines the Lévy flight with teaching-learning process, then evolves with a co-evolutionary mechanism: for solutions to be abandoned in the cuckoo search will perform Lévy flight to generate new solutions, while for other better solutions, the teaching-learning process is used to improve the local searching ability of the algorithm. Then the proposed TLCS method is adopted into several well-known engineering parameter optimization problems. Experimental results show that TLCS obtains some solutions better than those previously reported in the literature, which reveals that the proposed TLCS is a very effective and robust approach for the parameter optimization problems. |
|---|---|
| AbstractList | •We propose a teaching-learning-based cuckoo search algorithm.•Solving the parameter optimization in structure designing and machining process.•Several famous cases are adopted and solved to illustrate the effectiveness of the proposed algorithm.•The experimental results show that the proposed approach outperforms other algorithms and has achieved significant improvement.
The optimum selection of parameters is great important for the final quality of product in modern industrial manufacturing process. In order to achieve highly product quality, an effective optimization technique is indispensable. In this paper, a new hybrid algorithm named teaching-learning-based cuckoo search (TLCS) is proposed for parameter optimization problems in structure designing as well as machining processes. The TLCS combines the Lévy flight with teaching-learning process, then evolves with a co-evolutionary mechanism: for solutions to be abandoned in the cuckoo search will perform Lévy flight to generate new solutions, while for other better solutions, the teaching-learning process is used to improve the local searching ability of the algorithm. Then the proposed TLCS method is adopted into several well-known engineering parameter optimization problems. Experimental results show that TLCS obtains some solutions better than those previously reported in the literature, which reveals that the proposed TLCS is a very effective and robust approach for the parameter optimization problems. |
| Author | Gao, Liang Huang, Jida Li, Xinyu |
| Author_xml | – sequence: 1 givenname: Jida surname: Huang fullname: Huang, Jida – sequence: 2 givenname: Liang surname: Gao fullname: Gao, Liang – sequence: 3 givenname: Xinyu orcidid: 0000-0002-3730-0360 surname: Li fullname: Li, Xinyu email: lixinyu@mail.hust.edu.cn |
| BookMark | eNp9kEtO5DAQQK0RSMPvAqx8gQTbSRxHmg1C_CSk2cDacsqVbvckdst2I8El5srjAKtZsKqP6lWp3ik58sEjIZec1ZxxebWrTQpQC8a7mvU1a_gPcsJVL6pBKn5U8k6qqh1a-ZOcprRjBRqEOiF_rz3FaULI7hVpRgNb5zfVjCb6NRlNQkvhAH9CoKl0YUvNvAnR5e1CpxDp3kSzYMZIwz67xb2b7IKn-xjGGZdEnacpxwPkQ0RqMbnNupgab-nycW2tyjRgSpjOyfFk5oQXX_GMvNzdPt88VE-_7x9vrp8qaFqVKxw6M0hE2Q0dim7kytjOyl4Y3oIFNo6l6KaRtUJYlJNQUzMASKv6gTe8b86I-NwLMaQUcdL76BYT3zRnelWqd3pVqlelmvW6KC2Q-g8Clz_ezdG4-Xv01yeK5alXh1EncOgBrYtFvrbBfYf_A_JgmV0 |
| CitedBy_id | crossref_primary_10_1007_s12065_021_00640_8 crossref_primary_10_1016_j_engappai_2023_106207 crossref_primary_10_1155_2016_4839763 crossref_primary_10_1016_j_eswa_2018_01_005 crossref_primary_10_1016_j_asoc_2017_06_044 crossref_primary_10_1016_j_swevo_2016_07_002 crossref_primary_10_1080_0305215X_2017_1401067 crossref_primary_10_3390_jcs2040070 crossref_primary_10_1007_s00500_022_07589_5 crossref_primary_10_1007_s00170_025_15092_y crossref_primary_10_1016_j_knosys_2020_106599 crossref_primary_10_1007_s00521_016_2644_6 crossref_primary_10_1016_j_cie_2022_108719 crossref_primary_10_3139_120_111511 crossref_primary_10_1007_s00170_021_07155_7 crossref_primary_10_1016_j_asoc_2017_04_038 crossref_primary_10_1002_srin_202200953 crossref_primary_10_1515_mt_2020_0053 crossref_primary_10_1016_j_asoc_2020_107075 crossref_primary_10_1016_j_cej_2018_07_200 crossref_primary_10_1080_1206212X_2019_1686562 crossref_primary_10_1109_TII_2017_2786782 crossref_primary_10_1515_mt_2020_0093 crossref_primary_10_1515_mt_2020_0092 crossref_primary_10_1016_j_jocs_2018_06_008 crossref_primary_10_1515_mt_2024_0005 crossref_primary_10_1007_s00170_019_04532_1 crossref_primary_10_1016_j_engappai_2022_105620 crossref_primary_10_1007_s13369_020_05211_0 crossref_primary_10_1007_s12065_019_00255_0 crossref_primary_10_1016_j_engappai_2022_105069 crossref_primary_10_1007_s12597_021_00547_z crossref_primary_10_1109_TSMC_2020_3010120 crossref_primary_10_1155_2017_9067520 crossref_primary_10_1515_mt_2020_0043 crossref_primary_10_1016_j_comnet_2017_02_014 crossref_primary_10_1007_s10845_021_01872_2 crossref_primary_10_1007_s10462_024_10767_6 crossref_primary_10_1088_1742_6596_2003_1_012003 crossref_primary_10_1016_j_advengsoft_2017_08_014 crossref_primary_10_3233_JIFS_221019 crossref_primary_10_1016_j_knosys_2018_01_021 crossref_primary_10_3139_120_111378 crossref_primary_10_3139_120_111377 crossref_primary_10_1016_j_asoc_2020_106833 crossref_primary_10_3139_120_111492 crossref_primary_10_1007_s10845_020_01565_2 crossref_primary_10_1080_00207543_2020_1767313 crossref_primary_10_3139_120_111495 crossref_primary_10_1007_s00170_018_2549_x crossref_primary_10_3139_120_111494 crossref_primary_10_1111_exsy_12666 crossref_primary_10_1007_s00521_016_2464_8 crossref_primary_10_1016_j_dajour_2022_100144 crossref_primary_10_1016_j_ins_2018_03_042 crossref_primary_10_1016_j_knosys_2019_07_007 crossref_primary_10_1007_s00521_017_3012_x crossref_primary_10_1007_s00500_020_05032_1 crossref_primary_10_1007_s10845_020_01723_6 crossref_primary_10_1515_mt_2023_0332 crossref_primary_10_3389_feduc_2023_1253622 crossref_primary_10_1016_j_asoc_2022_109191 crossref_primary_10_1007_s10489_018_1301_4 crossref_primary_10_1016_j_asoc_2022_109478 crossref_primary_10_1016_j_jclepro_2017_04_132 crossref_primary_10_1007_s10489_021_03155_y crossref_primary_10_1016_j_asoc_2016_09_048 crossref_primary_10_1016_j_asoc_2017_03_019 crossref_primary_10_1007_s00500_016_2062_9 crossref_primary_10_1007_s10845_017_1373_8 crossref_primary_10_3390_en17205040 crossref_primary_10_1007_s13369_016_2270_8 crossref_primary_10_1007_s00366_020_01268_5 crossref_primary_10_1016_j_knosys_2021_107555 crossref_primary_10_1007_s10489_017_1097_7 crossref_primary_10_1007_s13369_018_3571_x crossref_primary_10_1016_j_engappai_2016_12_014 crossref_primary_10_1016_j_measurement_2023_112592 crossref_primary_10_1016_j_prime_2024_100536 crossref_primary_10_1016_j_istruc_2025_109058 crossref_primary_10_1515_mt_2024_0519 crossref_primary_10_1007_s00170_016_8498_3 crossref_primary_10_1016_j_neucom_2018_06_076 crossref_primary_10_1080_21681015_2017_1422040 crossref_primary_10_1109_TEM_2017_2774281 crossref_primary_10_1016_j_knosys_2023_110554 crossref_primary_10_1007_s10489_018_1355_3 crossref_primary_10_1155_2018_1806947 crossref_primary_10_1016_j_asoc_2022_108694 crossref_primary_10_1007_s10845_017_1328_0 crossref_primary_10_1016_j_asoc_2019_105743 |
| Cites_doi | 10.1016/S0890-6955(98)00027-3 10.1016/j.cad.2010.12.015 10.1007/s001700050134 10.1016/j.ijmachtools.2005.03.009 10.1016/j.asoc.2009.08.007 10.1016/S0890-6955(99)00063-2 10.1007/s00366-011-0241-y 10.1080/10426910903124860 10.1016/j.jmatprotec.2008.05.029 10.1016/j.jmatprotec.2005.09.032 10.1016/j.ins.2011.08.006 10.1016/0924-0136(92)90426-S 10.1016/j.eswa.2012.12.045 10.1504/IJVD.2001.005210 10.1016/j.ijmachtools.2005.07.041 10.1016/j.compstruc.2011.08.002 10.1016/j.ins.2012.07.012 10.1016/j.rcim.2007.08.002 10.1007/s00170-012-4013-7 10.1016/j.asoc.2012.06.007 10.1007/s00170-012-4524-2 10.1016/S0890-6955(02)00074-3 10.1016/j.eswa.2011.12.012 10.1016/S0890-6955(03)00081-6 10.1504/IJCAT.2013.052808 10.1016/j.eswa.2012.02.109 10.1016/j.eswa.2011.01.019 10.1243/09544054JEM1782 |
| ContentType | Journal Article |
| Copyright | 2015 Elsevier B.V. |
| Copyright_xml | – notice: 2015 Elsevier B.V. |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.asoc.2015.07.031 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1872-9681 |
| EndPage | 356 |
| ExternalDocumentID | 10_1016_j_asoc_2015_07_031 S1568494615004718 |
| GroupedDBID | --K --M .DC .~1 0R~ 1B1 1~. 1~5 23M 4.4 457 4G. 53G 5GY 5VS 6J9 7-5 71M 8P~ AABNK AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXUO AAYFN ABBOA ABFNM ABFRF ABJNI ABMAC ABXDB ABYKQ ACDAQ ACGFO ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADJOM ADMUD ADTZH AEBSH AECPX AEFWE AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CS3 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q GBLVA GBOLZ HVGLF HZ~ IHE J1W JJJVA KOM M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SDF SDG SES SEW SPC SPCBC SST SSV SSZ T5K UHS UNMZH ~G- 9DU AATTM AAXKI AAYWO AAYXX ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD |
| ID | FETCH-LOGICAL-c348t-e95a96ee6595e25b18ad5d672a14cdc0bbd675fb0422de6f28f39cc6d87913173 |
| ISICitedReferencesCount | 95 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000360424700028&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1568-4946 |
| IngestDate | Sat Nov 29 03:05:26 EST 2025 Tue Nov 18 22:21:03 EST 2025 Fri Feb 23 02:23:08 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Cuckoo search Co-evolutionary Parameter optimization Teaching-learning process TLCS |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c348t-e95a96ee6595e25b18ad5d672a14cdc0bbd675fb0422de6f28f39cc6d87913173 |
| ORCID | 0000-0002-3730-0360 |
| PageCount | 8 |
| ParticipantIDs | crossref_primary_10_1016_j_asoc_2015_07_031 crossref_citationtrail_10_1016_j_asoc_2015_07_031 elsevier_sciencedirect_doi_10_1016_j_asoc_2015_07_031 |
| PublicationCentury | 2000 |
| PublicationDate | 2015-11-01 |
| PublicationDateYYYYMMDD | 2015-11-01 |
| PublicationDate_xml | – month: 11 year: 2015 text: 2015-11-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationTitle | Applied soft computing |
| PublicationYear | 2015 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | Pawar, Venkata Rao (bib0255) 2013; 67 Hashish (bib0265) 1984; 106 Rao, Pawar (bib0200) 2010; 10 de Melo, Carosio (bib0220) 2013; 40 Rao, Savsani, Vakharia (bib0240) 2011; 43 Gu, Yang, Cho, Makowski, Faruque, Li (bib0310) 2001; 26 Yang, Deb (bib0230) 2010; 1 Hashish (bib0270) 1989; 111 Onwubolu (bib0305) 2006; 46 Sonmez, Baykasoglu, Dereli, Filiz (bib0300) 1999; 39 Yildiz (bib0170) 2013; 220 Huang, Li, Gao (bib0245) 2013; 46 Rao, Savsani, Vakharia (bib0250) 2012; 183 Yildiz (bib0235) 2013; 64 Liu, Wang (bib0190) 1999; 15 Yang, Deb (bib0225) 2009 Baskar, Asokan, Saravanan, Prabhaharan (bib0215) 2006; 174 Yusup, Mohd Zain, Mohd Hashim (bib0175) 2012; 39 Gandomi, Yang, Alavi (bib0320) 2013; 29 Pawar, Rao, Davim (bib0285) 2010; 25 Vijayakumar, Prabhaharan, Asokan, Saravanan (bib0195) 2003; 43 Gandomi, Yang, Alavi (bib0315) 2011; 89 Zain, Haron, Sharif (bib0260) 2011; 38 Shunmugam (bib0185) 2000; 40 Wang, Rahman, Wong, Sun (bib0210) 2005; 45 Jia-qing, Ling, Pan, Wen-hui (bib0165) 2012; 39 Rao, Pawar (bib0290) 2010; 224 Gao, Huang, Li (bib0295) 2012; 12 Zarei, Fesanghary, Farshi, Saffar, Razfar (bib0180) 2009; 209 Wen, Tay, Nee (bib0275) 1992; 29 Yildiz (bib0205) 2009; 25 Saravanan, Asokan, Sachidanandam (bib0280) 2002; 42 Yildiz (10.1016/j.asoc.2015.07.031_bib0235) 2013; 64 Yildiz (10.1016/j.asoc.2015.07.031_bib0205) 2009; 25 Yildiz (10.1016/j.asoc.2015.07.031_bib0170) 2013; 220 Liu (10.1016/j.asoc.2015.07.031_bib0190) 1999; 15 Baskar (10.1016/j.asoc.2015.07.031_bib0215) 2006; 174 Zarei (10.1016/j.asoc.2015.07.031_bib0180) 2009; 209 Jia-qing (10.1016/j.asoc.2015.07.031_bib0165) 2012; 39 Sonmez (10.1016/j.asoc.2015.07.031_bib0300) 1999; 39 Rao (10.1016/j.asoc.2015.07.031_bib0290) 2010; 224 Rao (10.1016/j.asoc.2015.07.031_bib0250) 2012; 183 Yusup (10.1016/j.asoc.2015.07.031_bib0175) 2012; 39 Yang (10.1016/j.asoc.2015.07.031_bib0225) 2009 Wen (10.1016/j.asoc.2015.07.031_bib0275) 1992; 29 Hashish (10.1016/j.asoc.2015.07.031_bib0270) 1989; 111 Gandomi (10.1016/j.asoc.2015.07.031_bib0320) 2013; 29 Wang (10.1016/j.asoc.2015.07.031_bib0210) 2005; 45 de Melo (10.1016/j.asoc.2015.07.031_bib0220) 2013; 40 Huang (10.1016/j.asoc.2015.07.031_bib0245) 2013; 46 Onwubolu (10.1016/j.asoc.2015.07.031_bib0305) 2006; 46 Hashish (10.1016/j.asoc.2015.07.031_bib0265) 1984; 106 Pawar (10.1016/j.asoc.2015.07.031_bib0255) 2013; 67 Shunmugam (10.1016/j.asoc.2015.07.031_bib0185) 2000; 40 Zain (10.1016/j.asoc.2015.07.031_bib0260) 2011; 38 Saravanan (10.1016/j.asoc.2015.07.031_bib0280) 2002; 42 Rao (10.1016/j.asoc.2015.07.031_bib0240) 2011; 43 Rao (10.1016/j.asoc.2015.07.031_bib0200) 2010; 10 Gao (10.1016/j.asoc.2015.07.031_bib0295) 2012; 12 Pawar (10.1016/j.asoc.2015.07.031_bib0285) 2010; 25 Vijayakumar (10.1016/j.asoc.2015.07.031_bib0195) 2003; 43 Gandomi (10.1016/j.asoc.2015.07.031_bib0315) 2011; 89 Gu (10.1016/j.asoc.2015.07.031_bib0310) 2001; 26 Yang (10.1016/j.asoc.2015.07.031_bib0230) 2010; 1 |
| References_xml | – volume: 29 start-page: 75 year: 1992 end-page: 90 ident: bib0275 article-title: Microcomputer based optimization of the surface grinding process publication-title: J. Mater. Process. Technol. – start-page: 210 year: 2009 end-page: 214 ident: bib0225 article-title: Cuckoo search via Lévy flights publication-title: Proceedings of World Congress on Nature & Biologically Inspired Computing – volume: 224 start-page: 887 year: 2010 end-page: 898 ident: bib0290 article-title: Grinding process parameter optimization using non-traditional optimization algorithms publication-title: J. Eng. Manuf. – volume: 12 start-page: 3490 year: 2012 end-page: 3499 ident: bib0295 article-title: An effective cellular particle swarm optimization for parameters optimization of a multi-pass milling process publication-title: Appl. Soft Comput. – volume: 39 start-page: 9909 year: 2012 end-page: 9927 ident: bib0175 article-title: Evolutionary techniques in optimizing machining parameters: review and recent applications (2007–2011) publication-title: Expert Syst. Appl. – volume: 220 start-page: 399 year: 2013 end-page: 407 ident: bib0170 article-title: Optimization of cutting parameters in multi-pass turning using artificial bee colony-based approach publication-title: Inf. Sci. – volume: 42 start-page: 1327 year: 2002 end-page: 1334 ident: bib0280 article-title: A multi-objective genetic algorithm approach for optimization of surface grinding operations publication-title: Int. J. Mach. Tools Manuf. – volume: 46 start-page: 717 year: 2006 end-page: 727 ident: bib0305 article-title: Performance-based optimization of multi-pass face milling operations using tribes publication-title: Int. J. Mach. Tools Manuf. – volume: 40 start-page: 3370 year: 2013 end-page: 3377 ident: bib0220 article-title: Investigating multi-view differential evolution for solving constrained engineering design problems publication-title: Expert Syst. Appl. – volume: 39 start-page: 297 year: 1999 end-page: 332 ident: bib0300 article-title: Dynamic optimization of multipass milling operations via geometric programming publication-title: Int. J. Mach. Tools Manuf. – volume: 15 start-page: 796 year: 1999 end-page: 799 ident: bib0190 article-title: A modified genetic algorithm based optimisation of milling parameters publication-title: Int. J. Adv. Manuf. Technol. – volume: 89 start-page: 2325 year: 2011 end-page: 2336 ident: bib0315 article-title: Mixed variable structural optimization using firefly algorithm publication-title: Comput. Struct. – volume: 46 start-page: 187 year: 2013 end-page: 194 ident: bib0245 article-title: A new hybrid algorithm for unconstrained optimisation problems publication-title: Int. J. Comput. Appl. Technol. – volume: 43 start-page: 1633 year: 2003 end-page: 1639 ident: bib0195 article-title: Optimization of multi-pass turning operations using ant colony system publication-title: Int. J. Mach. Tools Manuf. – volume: 25 start-page: 424 year: 2010 end-page: 431 ident: bib0285 article-title: Multi-objective optimization of grinding process parameters using particle swarm optimization algorithm publication-title: Mater. Manuf. Process. – volume: 45 start-page: 1726 year: 2005 end-page: 1734 ident: bib0210 article-title: Optimization of multi-pass milling using parallel genetic algorithm and parallel genetic simulated annealing publication-title: Int. J. Mach. Tools Manuf. – volume: 25 start-page: 261 year: 2009 end-page: 270 ident: bib0205 article-title: A novel hybrid immune algorithm for optimization of machining parameters in milling operations publication-title: Robot. Comput.-Integr. Manuf. – volume: 209 start-page: 2386 year: 2009 end-page: 2392 ident: bib0180 article-title: Optimization of multipass face-milling via harmony search algorithm publication-title: J. Mater. Process. Technol. – volume: 1 start-page: 330 year: 2010 end-page: 343 ident: bib0230 article-title: Engineering optimization by cuckoo search publication-title: Int. J. Math. Model. Numer. Optim. – volume: 38 start-page: 8316 year: 2011 end-page: 8326 ident: bib0260 article-title: Estimation of the minimum machining performance in the abrasive waterjet machining using integrated ANN-SA publication-title: Expert Syst. Appl. – volume: 39 start-page: 6041 year: 2012 end-page: 6051 ident: bib0165 article-title: An effective hybrid genetic algorithm with flexible allowance technique for constrained engineering design optimization publication-title: Expert Syst. Appl. – volume: 106 start-page: 88 year: 1984 end-page: 100 ident: bib0265 article-title: A modeling study of metal cutting with abrasive water jets publication-title: Trans. ASME: J. Eng. Mater. Technol. – volume: 29 start-page: 17 year: 2013 end-page: 35 ident: bib0320 article-title: Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems publication-title: Eng. Comput. – volume: 111 start-page: 154 year: 1989 end-page: 162 ident: bib0270 article-title: A model for abrasive water jet (AWJ) machining publication-title: Trans. ASME: J. Eng. Mater. Technol. – volume: 10 start-page: 445 year: 2010 end-page: 456 ident: bib0200 article-title: Parameter optimization of a multi-pass milling process using non-traditional optimization algorithms publication-title: Appl. Soft Comput. – volume: 43 start-page: 303 year: 2011 end-page: 315 ident: bib0240 article-title: Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems publication-title: Comput. Aided Des. – volume: 183 start-page: 1 year: 2012 end-page: 15 ident: bib0250 article-title: Teaching-learning-based optimization: an optimization method for continuous non-linear large scale problems publication-title: Inf. Sci. – volume: 64 start-page: 55 year: 2013 end-page: 61 ident: bib0235 article-title: Cuckoo search algorithm for the selection of optimal machining parameters in milling operations publication-title: Int. J. Adv. Manuf. Technol. – volume: 26 start-page: 348 year: 2001 end-page: 360 ident: bib0310 article-title: Optimization and robustness for crashworthiness publication-title: Int. J. Veh. Des. – volume: 174 start-page: 239 year: 2006 end-page: 249 ident: bib0215 article-title: Selection of optimal machining parameters for multi-tool milling operations using a memetic algorithm publication-title: J. Mater. Process. Technol. – volume: 67 start-page: 995 year: 2013 end-page: 1006 ident: bib0255 article-title: Parameter optimization of machining processes using teaching-learning-based optimization algorithm publication-title: Int. J. Adv. Manuf. Technol. – volume: 40 start-page: 401 year: 2000 end-page: 414 ident: bib0185 article-title: Selection of optimal conditions in multi-pass face milling using genetic algorithm publication-title: Int. J. Mach. Tools Manuf. – volume: 111 start-page: 154 year: 1989 ident: 10.1016/j.asoc.2015.07.031_bib0270 article-title: A model for abrasive water jet (AWJ) machining publication-title: Trans. ASME: J. Eng. Mater. Technol. – volume: 39 start-page: 297 issue: 2 year: 1999 ident: 10.1016/j.asoc.2015.07.031_bib0300 article-title: Dynamic optimization of multipass milling operations via geometric programming publication-title: Int. J. Mach. Tools Manuf. doi: 10.1016/S0890-6955(98)00027-3 – volume: 43 start-page: 303 issue: 3 year: 2011 ident: 10.1016/j.asoc.2015.07.031_bib0240 article-title: Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems publication-title: Comput. Aided Des. doi: 10.1016/j.cad.2010.12.015 – volume: 15 start-page: 796 year: 1999 ident: 10.1016/j.asoc.2015.07.031_bib0190 article-title: A modified genetic algorithm based optimisation of milling parameters publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s001700050134 – volume: 45 start-page: 1726 issue: 15 year: 2005 ident: 10.1016/j.asoc.2015.07.031_bib0210 article-title: Optimization of multi-pass milling using parallel genetic algorithm and parallel genetic simulated annealing publication-title: Int. J. Mach. Tools Manuf. doi: 10.1016/j.ijmachtools.2005.03.009 – volume: 10 start-page: 445 year: 2010 ident: 10.1016/j.asoc.2015.07.031_bib0200 article-title: Parameter optimization of a multi-pass milling process using non-traditional optimization algorithms publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2009.08.007 – volume: 40 start-page: 401 year: 2000 ident: 10.1016/j.asoc.2015.07.031_bib0185 article-title: Selection of optimal conditions in multi-pass face milling using genetic algorithm publication-title: Int. J. Mach. Tools Manuf. doi: 10.1016/S0890-6955(99)00063-2 – volume: 1 start-page: 330 issue: 4 year: 2010 ident: 10.1016/j.asoc.2015.07.031_bib0230 article-title: Engineering optimization by cuckoo search publication-title: Int. J. Math. Model. Numer. Optim. – volume: 29 start-page: 17 year: 2013 ident: 10.1016/j.asoc.2015.07.031_bib0320 article-title: Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems publication-title: Eng. Comput. doi: 10.1007/s00366-011-0241-y – start-page: 210 year: 2009 ident: 10.1016/j.asoc.2015.07.031_bib0225 article-title: Cuckoo search via Lévy flights – volume: 25 start-page: 424 issue: 6 year: 2010 ident: 10.1016/j.asoc.2015.07.031_bib0285 article-title: Multi-objective optimization of grinding process parameters using particle swarm optimization algorithm publication-title: Mater. Manuf. Process. doi: 10.1080/10426910903124860 – volume: 209 start-page: 2386 year: 2009 ident: 10.1016/j.asoc.2015.07.031_bib0180 article-title: Optimization of multipass face-milling via harmony search algorithm publication-title: J. Mater. Process. Technol. doi: 10.1016/j.jmatprotec.2008.05.029 – volume: 174 start-page: 239 year: 2006 ident: 10.1016/j.asoc.2015.07.031_bib0215 article-title: Selection of optimal machining parameters for multi-tool milling operations using a memetic algorithm publication-title: J. Mater. Process. Technol. doi: 10.1016/j.jmatprotec.2005.09.032 – volume: 183 start-page: 1 issue: 1 year: 2012 ident: 10.1016/j.asoc.2015.07.031_bib0250 article-title: Teaching-learning-based optimization: an optimization method for continuous non-linear large scale problems publication-title: Inf. Sci. doi: 10.1016/j.ins.2011.08.006 – volume: 29 start-page: 75 year: 1992 ident: 10.1016/j.asoc.2015.07.031_bib0275 article-title: Microcomputer based optimization of the surface grinding process publication-title: J. Mater. Process. Technol. doi: 10.1016/0924-0136(92)90426-S – volume: 40 start-page: 3370 year: 2013 ident: 10.1016/j.asoc.2015.07.031_bib0220 article-title: Investigating multi-view differential evolution for solving constrained engineering design problems publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2012.12.045 – volume: 26 start-page: 348 issue: 4 year: 2001 ident: 10.1016/j.asoc.2015.07.031_bib0310 article-title: Optimization and robustness for crashworthiness publication-title: Int. J. Veh. Des. doi: 10.1504/IJVD.2001.005210 – volume: 46 start-page: 717 year: 2006 ident: 10.1016/j.asoc.2015.07.031_bib0305 article-title: Performance-based optimization of multi-pass face milling operations using tribes publication-title: Int. J. Mach. Tools Manuf. doi: 10.1016/j.ijmachtools.2005.07.041 – volume: 89 start-page: 2325 issue: 23–24 year: 2011 ident: 10.1016/j.asoc.2015.07.031_bib0315 article-title: Mixed variable structural optimization using firefly algorithm publication-title: Comput. Struct. doi: 10.1016/j.compstruc.2011.08.002 – volume: 220 start-page: 399 year: 2013 ident: 10.1016/j.asoc.2015.07.031_bib0170 article-title: Optimization of cutting parameters in multi-pass turning using artificial bee colony-based approach publication-title: Inf. Sci. doi: 10.1016/j.ins.2012.07.012 – volume: 25 start-page: 261 issue: 2 year: 2009 ident: 10.1016/j.asoc.2015.07.031_bib0205 article-title: A novel hybrid immune algorithm for optimization of machining parameters in milling operations publication-title: Robot. Comput.-Integr. Manuf. doi: 10.1016/j.rcim.2007.08.002 – volume: 64 start-page: 55 year: 2013 ident: 10.1016/j.asoc.2015.07.031_bib0235 article-title: Cuckoo search algorithm for the selection of optimal machining parameters in milling operations publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s00170-012-4013-7 – volume: 12 start-page: 3490 year: 2012 ident: 10.1016/j.asoc.2015.07.031_bib0295 article-title: An effective cellular particle swarm optimization for parameters optimization of a multi-pass milling process publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2012.06.007 – volume: 67 start-page: 995 year: 2013 ident: 10.1016/j.asoc.2015.07.031_bib0255 article-title: Parameter optimization of machining processes using teaching-learning-based optimization algorithm publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s00170-012-4524-2 – volume: 42 start-page: 1327 year: 2002 ident: 10.1016/j.asoc.2015.07.031_bib0280 article-title: A multi-objective genetic algorithm approach for optimization of surface grinding operations publication-title: Int. J. Mach. Tools Manuf. doi: 10.1016/S0890-6955(02)00074-3 – volume: 39 start-page: 6041 year: 2012 ident: 10.1016/j.asoc.2015.07.031_bib0165 article-title: An effective hybrid genetic algorithm with flexible allowance technique for constrained engineering design optimization publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2011.12.012 – volume: 43 start-page: 1633 year: 2003 ident: 10.1016/j.asoc.2015.07.031_bib0195 article-title: Optimization of multi-pass turning operations using ant colony system publication-title: Int. J. Mach. Tools Manuf. doi: 10.1016/S0890-6955(03)00081-6 – volume: 46 start-page: 187 issue: 3 year: 2013 ident: 10.1016/j.asoc.2015.07.031_bib0245 article-title: A new hybrid algorithm for unconstrained optimisation problems publication-title: Int. J. Comput. Appl. Technol. doi: 10.1504/IJCAT.2013.052808 – volume: 106 start-page: 88 year: 1984 ident: 10.1016/j.asoc.2015.07.031_bib0265 article-title: A modeling study of metal cutting with abrasive water jets publication-title: Trans. ASME: J. Eng. Mater. Technol. – volume: 39 start-page: 9909 year: 2012 ident: 10.1016/j.asoc.2015.07.031_bib0175 article-title: Evolutionary techniques in optimizing machining parameters: review and recent applications (2007–2011) publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2012.02.109 – volume: 38 start-page: 8316 issue: 2011 year: 2011 ident: 10.1016/j.asoc.2015.07.031_bib0260 article-title: Estimation of the minimum machining performance in the abrasive waterjet machining using integrated ANN-SA publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2011.01.019 – volume: 224 start-page: 887 issue: 6 year: 2010 ident: 10.1016/j.asoc.2015.07.031_bib0290 article-title: Grinding process parameter optimization using non-traditional optimization algorithms publication-title: J. Eng. Manuf. doi: 10.1243/09544054JEM1782 |
| SSID | ssj0016928 |
| Score | 2.445947 |
| Snippet | •We propose a teaching-learning-based cuckoo search algorithm.•Solving the parameter optimization in structure designing and machining process.•Several famous... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 349 |
| SubjectTerms | Co-evolutionary Cuckoo search Parameter optimization Teaching-learning process TLCS |
| Title | An effective teaching-learning-based cuckoo search algorithm for parameter optimization problems in structure designing and machining processes |
| URI | https://dx.doi.org/10.1016/j.asoc.2015.07.031 |
| Volume | 36 |
| WOSCitedRecordID | wos000360424700028&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: 1872-9681 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0016928 issn: 1568-4946 databaseCode: AIEXJ dateStart: 20010601 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEF6FlgMX3ojy0h64WYv83t1jhMqjqiokipSbtd5dl7SJXbVOVX4Ff4Afy-wzgUIFSFysZGXHlufzzGT8zTcIvWR5IQoIpKRsc0VK1jEi8k4S2SkjpUIz0dpG4X16cMBmM_5hMvkWemEuFrTv2eUlP_2vpoY1MLZpnf0Lc8cfhQX4DEaHLZgdtn9k-GnvSRqGEzR6siTx0yGOiAlbKpEreTIMia95iMXRcDYfPy8t6dCogS8NSyYZwJ8sfaNm4kfPWP6sU5017x6UZYCETselPZtrcLcNCJ6hGGRufcp7Dr7fktlXY4icFlm-dr03X5cJ3orBlQ7Eesd9y0CYzfsvq82iRVb57r1YSbvSTeOcb81IyX1JUrs1RnPCazfWJXjsYtPlFk7y1EfvwsmUXwkMrkZx_EoA5g2hr7KSrT4A_Si4_dFch7kMyJVTE7tvoO2cVhx85vb0_e5sL76lqrmd3Ruv2zdlOf7gz2f6deKzkcwc3kW3_b8QPHXouYcmur-P7oQJH9g7_Afo67THEUz4N2DCDkzYgQlHMGEAE45gwptgwgFMeN7jCCYcwYQBTDiCCUcwPUSf3uwevn5H_AgPIuFRH4nmleC11ka1UudVmzGhKlXTXGSlVDJtW_hSda1RolO67nLWFVzKWjHKM0hti0doqx96_RhhSE251LxrIWqUsisFhdtPM5UKVVapandQFu5vI72-vRmzsmgCkfG4MTZpjE2alDZgkx2UxGNOnbrLtXtXwWyNz09d3tkAyq457sk_HvcU3Vo_O8_QFlhDP0c35cU4Pz974cH4HUuFvOk |
| 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=An+effective+teaching-learning-based+cuckoo+search+algorithm+for+parameter+optimization+problems+in+structure+designing+and+machining+processes&rft.jtitle=Applied+soft+computing&rft.au=Huang%2C+Jida&rft.au=Gao%2C+Liang&rft.au=Li%2C+Xinyu&rft.date=2015-11-01&rft.pub=Elsevier+B.V&rft.issn=1568-4946&rft.eissn=1872-9681&rft.volume=36&rft.spage=349&rft.epage=356&rft_id=info:doi/10.1016%2Fj.asoc.2015.07.031&rft.externalDocID=S1568494615004718 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1568-4946&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1568-4946&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1568-4946&client=summon |