{"id":"https://openalex.org/W4407937865","doi":"https://doi.org/10.1109/tevc.2025.3545602","title":"A Landscape-Aware Differential Evolution for Multimodal Optimization Problems","display_name":"A Landscape-Aware Differential Evolution for Multimodal Optimization Problems","publication_year":2025,"publication_date":"2025-02-25","ids":{"openalex":"https://openalex.org/W4407937865","doi":"https://doi.org/10.1109/tevc.2025.3545602"},"language":"en","primary_location":{"id":"doi:10.1109/tevc.2025.3545602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2025.3545602","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-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/A5108421246","display_name":"G.M. Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guo-Yun Lin","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020295500","display_name":"Zong-Gan Chen","orcid":"https://orcid.org/0000-0001-7585-5212"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zong-Gan Chen","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101803358","display_name":"Chuanbin Liu","orcid":"https://orcid.org/0000-0002-2821-3767"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanbin Liu","raw_affiliation_strings":["Center for Scientific Research and Development in Higher Education Institutes, Ministry of Education, Beijing, China","Center for Scientific Research and Development in Higher Education Institutes, Ministry of Education, P.R.China"],"affiliations":[{"raw_affiliation_string":"Center for Scientific Research and Development in Higher Education Institutes, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"Center for Scientific Research and Development in Higher Education Institutes, Ministry of Education, P.R.China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015727828","display_name":"Yuncheng Jiang","orcid":"https://orcid.org/0000-0002-4294-454X"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuncheng Jiang","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["Department of Computing and Decision Science, Lingnan University, Hong Kong, China","Department of Computing and Decision Science, Lingnan University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Decision Science, Lingnan University, Hong Kong, China","institution_ids":[]},{"raw_affiliation_string":"Department of Computing and Decision Science, Lingnan University, Hong Kong","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011145004","display_name":"Zhi\u2010Hui Zhan","orcid":"https://orcid.org/0000-0003-0862-0514"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Hui Zhan","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5108421246"],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":null,"apc_paid":null,"fwci":24.8488,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.99350039,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"30","issue":"1","first_page":"256","last_page":"270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.7749000191688538,"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":0.7749000191688538,"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":0.7364094853401184},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5936737060546875},{"id":"https://openalex.org/keywords/fitness-landscape","display_name":"Fitness landscape","score":0.5304343700408936},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5131626725196838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.472231388092041},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45549023151397705},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4162839651107788},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2834796905517578}],"concepts":[{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.7364094853401184},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5936737060546875},{"id":"https://openalex.org/C91852762","wikidata":"https://www.wikidata.org/wiki/Q3307742","display_name":"Fitness landscape","level":3,"score":0.5304343700408936},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5131626725196838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.472231388092041},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45549023151397705},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4162839651107788},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2834796905517578},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"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/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/tevc.2025.3545602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2025.3545602","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G6140107457","display_name":null,"funder_award_id":"2024A1515011708","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8540529719","display_name":null,"funder_award_id":"62206100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1595159159","https://openalex.org/W1755390828","https://openalex.org/W2017258920","https://openalex.org/W2021726697","https://openalex.org/W2042476863","https://openalex.org/W2068610075","https://openalex.org/W2098073879","https://openalex.org/W2159308419","https://openalex.org/W2174170216","https://openalex.org/W2338399048","https://openalex.org/W2564330218","https://openalex.org/W2602092909","https://openalex.org/W2755582626","https://openalex.org/W2799780652","https://openalex.org/W2806365404","https://openalex.org/W2938111495","https://openalex.org/W2940472483","https://openalex.org/W2946596305","https://openalex.org/W2977620944","https://openalex.org/W3113348940","https://openalex.org/W3119399505","https://openalex.org/W3163509581","https://openalex.org/W3201973298","https://openalex.org/W3203698880","https://openalex.org/W3208864959","https://openalex.org/W4200185120","https://openalex.org/W4223432987","https://openalex.org/W4296016384","https://openalex.org/W4309019389","https://openalex.org/W4312533570","https://openalex.org/W4313009019","https://openalex.org/W4313122055","https://openalex.org/W4313192454","https://openalex.org/W4313291093","https://openalex.org/W4319778046","https://openalex.org/W4321794116","https://openalex.org/W4366439802","https://openalex.org/W4383216683","https://openalex.org/W4387577064","https://openalex.org/W4388692472","https://openalex.org/W4390691576","https://openalex.org/W4391019550","https://openalex.org/W4392007251","https://openalex.org/W4394595681","https://openalex.org/W4395474908","https://openalex.org/W4401927651"],"related_works":["https://openalex.org/W2394392475","https://openalex.org/W2079483465","https://openalex.org/W2069937987","https://openalex.org/W2107894985","https://openalex.org/W2911471039","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W1571424162","https://openalex.org/W2015132550","https://openalex.org/W2021957875"],"abstract_inverted_index":{"How":[0],"to":[1,42,74,87,90,133,151],"simultaneously":[2],"locate":[3,75],"multiple":[4],"global":[5,111,131],"peaks":[6,14,85,132],"and":[7,46,78,154,174,197],"achieve":[8],"certain":[9],"accuracy":[10],"on":[11,129,169],"the":[12,53,60,80,83,130,135,143,152,157,170,202],"found":[13,84,97,120,158],"are":[15,167],"two":[16],"key":[17],"challenges":[18],"in":[19,59,201],"solving":[20],"multimodal":[21,175,207],"optimization":[22],"problems":[23],"(MMOPs).":[24],"In":[25,51],"this":[26],"article,":[27],"a":[28,65,76,100,109,113,139],"landscape-aware":[29,66,101,140],"differential":[30],"evolution":[31],"(LADE)":[32],"algorithm":[33],"is":[34,56],"proposed":[35],"for":[36,206],"MMOPs,":[37],"which":[38,160],"utilizes":[39],"landscape":[40,54],"knowledge":[41,55],"maintain":[43],"sufficient":[44],"diversity":[45],"provide":[47],"efficient":[48],"search":[49,88,136],"guidance.":[50],"detail,":[52],"efficiently":[57],"utilized":[58],"following":[61],"three":[62],"aspects.":[63],"First,":[64],"peak":[67,77,102],"exploration":[68],"helps":[69,161],"each":[70],"individual":[71,93,107,148],"evolve":[72],"adaptively":[73,149],"simulates":[79],"regions":[81],"of":[82,146,156],"according":[86,150],"history":[89],"avoid":[91],"an":[92,95,106,118,147],"re-locating":[94],"already":[96,119],"peak.":[98,121],"Second,":[99],"distinction":[103,155],"distinguishes":[104],"whether":[105],"locates":[108],"new":[110,114],"peak,":[112,116],"local":[115],"or":[117,188],"Accuracy":[122],"refinement":[123],"can":[124],"thus":[125],"only":[126],"be":[127],"conducted":[128,168],"enhance":[134],"efficiency.":[137],"Third,":[138],"reinitialization":[141],"specifies":[142],"initial":[144],"position":[145],"distribution":[153],"peaks,":[159],"explore":[162],"more":[163],"peaks.":[164],"The":[165],"experiments":[166],"widely-used":[171],"benchmark":[172],"MMOPs":[173],"nonlinear":[176],"equation":[177],"system":[178],"problems.":[179],"Experimental":[180],"results":[181],"show":[182],"that":[183],"LADE":[184],"obtains":[185],"generally":[186],"better":[187],"competitive":[189],"performance":[190],"compared":[191],"with":[192],"seven":[193],"well-performing":[194],"recent":[195],"algorithms":[196,200],"four":[198],"winner":[199],"IEEE":[203],"CEC":[204],"competitions":[205],"optimization.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}