{"id":"https://openalex.org/W2099618241","doi":"https://doi.org/10.1109/iske.2008.4730983","title":"Research on performance measures of multi-objective optimization evolutionary algorithms","display_name":"Research on performance measures of multi-objective optimization evolutionary algorithms","publication_year":2008,"publication_date":"2008-11-01","ids":{"openalex":"https://openalex.org/W2099618241","doi":"https://doi.org/10.1109/iske.2008.4730983","mag":"2099618241"},"language":"en","primary_location":{"id":"doi:10.1109/iske.2008.4730983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2008.4730983","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 3rd International Conference on Intelligent System and Knowledge Engineering","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":null,"display_name":"Zhang Lili","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Lili","raw_affiliation_strings":["Department of Computer Science, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zeng Wenhua","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeng Wenhua","raw_affiliation_strings":["Software School, Xiamen University, Xiamen, China","Software School, Xiamen University, Xiamen, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software School, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Software School, Xiamen University, Xiamen, China#TAB#","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.12548438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2632","issue":null,"first_page":"502","last_page":"507"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9965999722480774,"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/T10998","display_name":"Heat Transfer and Optimization","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.7673828601837158},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.7611818909645081},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.7280479669570923},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6683803200721741},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.607858419418335},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5987799167633057},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5334404110908508},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5110594034194946},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4476609528064728},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4374939799308777},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.4350406527519226},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37375307083129883},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3287234604358673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2803013324737549},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2570840120315552},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.188032865524292}],"concepts":[{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.7673828601837158},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.7611818909645081},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.7280479669570923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6683803200721741},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.607858419418335},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5987799167633057},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5334404110908508},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5110594034194946},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4476609528064728},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4374939799308777},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.4350406527519226},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37375307083129883},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3287234604358673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2803013324737549},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2570840120315552},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.188032865524292},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske.2008.4730983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2008.4730983","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 3rd International Conference on Intelligent System and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W47700306","https://openalex.org/W1521316934","https://openalex.org/W1542437639","https://openalex.org/W1553373771","https://openalex.org/W1558919105","https://openalex.org/W2023313972","https://openalex.org/W2074308169","https://openalex.org/W2098907614","https://openalex.org/W2123485079","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2153654820","https://openalex.org/W2156679542","https://openalex.org/W2222230941","https://openalex.org/W2232769049","https://openalex.org/W2463564488","https://openalex.org/W2941281702","https://openalex.org/W3029591682","https://openalex.org/W4292408320","https://openalex.org/W6689570417","https://openalex.org/W6761597005"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W2073147994","https://openalex.org/W1588199609","https://openalex.org/W2145877535"],"abstract_inverted_index":{"A":[0],"large":[1],"number":[2],"of":[3,26,33,88],"multi-objective":[4],"optimization":[5],"evolutionary":[6],"algorithms(MOEAs)":[7],"have":[8,36],"been":[9,37],"developed":[10],"in":[11,85],"the":[12,24,60,63,67,71],"past":[13],"two":[14],"decades.":[15],"To":[16],"compare":[17],"these":[18],"methods":[19],"rigorously,":[20],"or":[21],"to":[22,81],"measure":[23],"performance":[25,34,45,57,86],"a":[27,31],"particular":[28],"MOEA":[29],"quantitatively,":[30],"variety":[32],"measures":[35,46,58,87],"proposed.":[38,75],"In":[39],"this":[40],"paper,":[41],"some":[42],"existing":[43],"widely-used":[44],"are":[47,74],"briefly":[48],"reviewed":[49],"and":[50,66],"compared":[51],"according":[52],"different":[53],"properties.":[54],"Two":[55],"new":[56],"computing":[59],"convergence":[61],"towards":[62],"Pareto":[64,72],"front":[65,73],"solution":[68],"diversity":[69],"on":[70,79],"And":[76],"an":[77],"outlook":[78],"how":[80],"further":[82],"deepen":[83],"insight":[84],"MOEAs":[89],"is":[90],"given.":[91]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}