{"id":"https://openalex.org/W2047440282","doi":"https://doi.org/10.1109/cec.2010.5585947","title":"Constrained multi-objective optimization algorithm with diversity enhanced differential evolution","display_name":"Constrained multi-objective optimization algorithm with diversity enhanced differential evolution","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2047440282","doi":"https://doi.org/10.1109/cec.2010.5585947","mag":"2047440282"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2010.5585947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2010.5585947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001242154","display_name":"Boyang Qu","orcid":"https://orcid.org/0000-0001-7539-3927"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bo-Yang Qu","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","Nanyang Technological University,School of Electrical & Electronic Engineering,Singapore,639798"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University,School of Electrical & Electronic Engineering,Singapore,639798","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025626208","display_name":"Ponnuthurai Nagaratnam Suganthan","orcid":"https://orcid.org/0000-0003-0901-5105"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ponnuthurai Nagaratnam Suganthan","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","Nanyang Technological University,School of Electrical & Electronic Engineering,Singapore,639798"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University,School of Electrical & Electronic Engineering,Singapore,639798","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0306,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.7730819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.7545004487037659},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7036542892456055},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7033339738845825},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.7027332782745361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5319925546646118},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.4589778482913971},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.457346647977829},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.45381468534469604},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4285033643245697},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4122835695743561},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4120943248271942},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37165650725364685}],"concepts":[{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.7545004487037659},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7036542892456055},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7033339738845825},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.7027332782745361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5319925546646118},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.4589778482913971},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.457346647977829},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.45381468534469604},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4285033643245697},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4122835695743561},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4120943248271942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37165650725364685},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2010.5585947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2010.5585947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W181374404","https://openalex.org/W203272431","https://openalex.org/W1508684207","https://openalex.org/W1540838551","https://openalex.org/W1595159159","https://openalex.org/W1595498733","https://openalex.org/W1905847227","https://openalex.org/W1976984886","https://openalex.org/W1993530334","https://openalex.org/W2002252288","https://openalex.org/W2016859302","https://openalex.org/W2017258920","https://openalex.org/W2022586794","https://openalex.org/W2050234263","https://openalex.org/W2071960131","https://openalex.org/W2073253909","https://openalex.org/W2090537542","https://openalex.org/W2109880321","https://openalex.org/W2116661285","https://openalex.org/W2145479420","https://openalex.org/W2149288959","https://openalex.org/W2162710560","https://openalex.org/W2167159964","https://openalex.org/W2941281702","https://openalex.org/W3029591682","https://openalex.org/W6632536631","https://openalex.org/W6635507646","https://openalex.org/W6648649407","https://openalex.org/W6655999750","https://openalex.org/W6684212943","https://openalex.org/W6761597005"],"related_works":["https://openalex.org/W2394392475","https://openalex.org/W2069937987","https://openalex.org/W1571424162","https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W2015132550","https://openalex.org/W3168391725","https://openalex.org/W2235797280","https://openalex.org/W2145877535","https://openalex.org/W2022485595"],"abstract_inverted_index":{"Constrained":[0],"multi-objective":[1,14,48],"differential":[2,49],"evolution":[3,50],"(CMODE)":[4],"is":[5,19,52,64],"a":[6,20,44,67],"population-based":[7],"stochastic":[8],"search":[9,24],"technique":[10],"for":[11],"solving":[12],"constrained":[13,47],"optimization":[15],"problems.":[16,72],"Although":[17],"CMODE":[18],"powerful":[21],"and":[22],"efficient":[23],"algorithm,":[25],"it":[26],"frequently":[27],"suffers":[28],"from":[29],"pre-mature":[30,57],"convergence,":[31],"especially":[32],"when":[33],"there":[34],"are":[35],"numerous":[36],"local":[37],"Pareto":[38],"optimal":[39],"solutions.":[40],"In":[41],"this":[42],"paper,":[43],"diversity":[45],"enhanced":[46],"(DE-CMODE)":[51],"proposed":[53],"to":[54,86],"overcome":[55],"the":[56,76,79,87],"convergence":[58],"problem.":[59],"The":[60],"performance":[61],"of":[62,69],"DE-MODE":[63],"evaluated":[65],"on":[66],"set":[68],"8":[70],"benchmark":[71],"As":[73],"shown":[74],"in":[75],"experimental":[77],"results,":[78],"DE-CMODE":[80],"performs":[81],"either":[82],"better":[83],"or":[84],"similar":[85],"classical":[88],"CMODE.":[89]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
