{"id":"https://openalex.org/W2097481624","doi":"https://doi.org/10.1109/cec.2014.6900507","title":"Differential Evolution strategy based on the constraint of fitness values classification","display_name":"Differential Evolution strategy based on the constraint of fitness values classification","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2097481624","doi":"https://doi.org/10.1109/cec.2014.6900507","mag":"2097481624"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2014.6900507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5085651839","display_name":"Zhihui Li","orcid":"https://orcid.org/0000-0001-6027-8635"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Li","raw_affiliation_strings":["School of Electrical Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101548135","display_name":"Zhigang Shang","orcid":"https://orcid.org/0009-0008-9019-5468"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Shang","raw_affiliation_strings":["School of Electrical Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001242154","display_name":"Boyang Qu","orcid":"https://orcid.org/0000-0001-7539-3927"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"B. Y. Qu","raw_affiliation_strings":["School of Electric and Information Engineering, Zhongyuan University of Technology, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electric and Information Engineering, Zhongyuan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100676081","display_name":"Jing Liang","orcid":"https://orcid.org/0000-0003-0811-0223"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"J. J. Liang","raw_affiliation_strings":["School of Electrical Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998000264167786,"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":0.9975000023841858,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.6757144331932068},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6706643104553223},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.644809365272522},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.6094889640808105},{"id":"https://openalex.org/keywords/fitness-approximation","display_name":"Fitness approximation","score":0.549622654914856},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5493977069854736},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5385952591896057},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.52912437915802},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5142752528190613},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.46635451912879944},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.42017877101898193},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4138079285621643},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4050184488296509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31995558738708496},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.3196440041065216}],"concepts":[{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.6757144331932068},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6706643104553223},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.644809365272522},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.6094889640808105},{"id":"https://openalex.org/C148392497","wikidata":"https://www.wikidata.org/wiki/Q16250539","display_name":"Fitness approximation","level":4,"score":0.549622654914856},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5493977069854736},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5385952591896057},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.52912437915802},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5142752528190613},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.46635451912879944},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.42017877101898193},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4138079285621643},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4050184488296509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31995558738708496},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3196440041065216},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2014.6900507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","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":11,"referenced_works":["https://openalex.org/W1504391786","https://openalex.org/W1964129964","https://openalex.org/W2000603073","https://openalex.org/W2069881902","https://openalex.org/W2088424609","https://openalex.org/W2099655666","https://openalex.org/W2137340504","https://openalex.org/W2156194072","https://openalex.org/W2182761707","https://openalex.org/W2245817485","https://openalex.org/W6686280248"],"related_works":["https://openalex.org/W3011912617","https://openalex.org/W2115072089","https://openalex.org/W2938727909","https://openalex.org/W2124269997","https://openalex.org/W3006020334","https://openalex.org/W2732972480","https://openalex.org/W2072268707","https://openalex.org/W2887328214","https://openalex.org/W2963372016","https://openalex.org/W2106289566"],"abstract_inverted_index":{"This":[0,88,122,156],"paper":[1,157],"presents":[2],"a":[3],"new":[4],"Differential":[5],"Evolution":[6],"(DE)":[7],"strategy,":[8],"named":[9],"as":[10,98,100],"FCDE,":[11],"based":[12],"on":[13,126,137,163],"the":[14,24,29,33,40,49,64,77,85,93,104,113,127,161],"constraint":[15],"of":[16,18,39,110,131,149],"classification":[17],"fitness":[19,31,35,58],"function":[20,42],"values.":[21],"To":[22],"ensure":[23],"population":[25,50],"could":[26,90],"move":[27],"to":[28,83,95,169],"better":[30],"landscape,":[32],"global":[34,96],"value":[36],"distribution":[37],"information":[38],"objective":[41,139,167],"are":[43,51,120],"used":[44],"and":[45,73,135],"all":[46],"points":[47,65,78],"in":[48,60,66,79,116,152,160],"classified":[52],"into":[53,103],"three":[54],"class":[55,68,82],"by":[56],"their":[57,70],"values":[59],"each":[61,67],"generation,":[62],"so":[63],"choose":[69],"donor":[71],"vector":[72,75],"differential":[74],"from":[76],"adjacent":[80],"senior":[81],"form":[84],"trial":[86],"vector.":[87],"strategy":[89,151],"speed":[91],"up":[92],"convergence":[94],"optimal":[97],"well":[99],"avoid":[101],"falling":[102],"local":[105],"optimal.":[106],"Another":[107],"attractive":[108],"character":[109],"FCDE":[111],"is":[112,124],"control":[114],"parameters":[115],"this":[117,150],"DE":[118],"variant":[119],"self-adaptive.":[121],"method":[123],"tested":[125],"30":[128],"benchmark":[129],"functions":[130],"CEC2014":[132],"special":[133],"session":[134],"competition":[136,162],"single":[138,166],"real-parameter":[140],"numerical":[141],"optimization.":[142],"The":[143],"experimental":[144],"results":[145],"showed":[146],"acceptable":[147],"reliability":[148],"high":[153],"search":[154],"dimension.":[155],"will":[158],"participate":[159],"real":[164],"parameter":[165],"optimization":[168],"compare":[170],"with":[171],"other":[172],"algorithms.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}