{"id":"https://openalex.org/W2163432972","doi":"https://doi.org/10.1145/1068009.1068174","title":"Enhancing differential evolution performance with local search for high dimensional function optimization","display_name":"Enhancing differential evolution performance with local search for high dimensional function optimization","publication_year":2005,"publication_date":"2005-06-25","ids":{"openalex":"https://openalex.org/W2163432972","doi":"https://doi.org/10.1145/1068009.1068174","mag":"2163432972"},"language":"en","primary_location":{"id":"doi:10.1145/1068009.1068174","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1068009.1068174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th annual conference on Genetic and 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/A5008309887","display_name":"Nasimul Noman","orcid":"https://orcid.org/0000-0002-8566-0870"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Nasimul Noman","raw_affiliation_strings":["University of Tokyo"],"affiliations":[{"raw_affiliation_string":"University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102742376","display_name":"Hitoshi Iba","orcid":"https://orcid.org/0000-0003-1607-1690"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hitoshi Iba","raw_affiliation_strings":["University of Tokyo"],"affiliations":[{"raw_affiliation_string":"University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008309887"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":8.2205,"has_fulltext":false,"cited_by_count":122,"citation_normalized_percentile":{"value":0.97497564,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"967","last_page":"974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9958000183105469,"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":0.9754999876022339,"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/memetic-algorithm","display_name":"Memetic algorithm","score":0.7982110977172852},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.7548922300338745},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.7454602718353271},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7348769903182983},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7200649976730347},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5465875864028931},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.544396698474884},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4849153161048889},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.479467511177063},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.46712973713874817},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46296170353889465},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.44536226987838745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36956146359443665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2391628921031952}],"concepts":[{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.7982110977172852},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.7548922300338745},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.7454602718353271},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7348769903182983},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7200649976730347},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5465875864028931},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.544396698474884},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4849153161048889},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.479467511177063},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.46712973713874817},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46296170353889465},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.44536226987838745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36956146359443665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2391628921031952},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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":2,"locations":[{"id":"doi:10.1145/1068009.1068174","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1068009.1068174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.330.5210","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.5210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p967.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W18216792","https://openalex.org/W47058917","https://openalex.org/W100223930","https://openalex.org/W397102730","https://openalex.org/W575070856","https://openalex.org/W1493291218","https://openalex.org/W1595159159","https://openalex.org/W1959606346","https://openalex.org/W2024164712","https://openalex.org/W2072782187","https://openalex.org/W2075342830","https://openalex.org/W2107915862","https://openalex.org/W2141554323","https://openalex.org/W2151554678","https://openalex.org/W2166843422","https://openalex.org/W2169143828","https://openalex.org/W6684276203"],"related_works":["https://openalex.org/W2318617794","https://openalex.org/W2163647484","https://openalex.org/W2132985225","https://openalex.org/W47248985","https://openalex.org/W1887821501","https://openalex.org/W2000270779","https://openalex.org/W2154827005","https://openalex.org/W2129486222","https://openalex.org/W1988293173","https://openalex.org/W2122796518"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,75],"proposed":[4,42,78,110],"Fittest":[5],"Individual":[6],"Refinement":[7],"(FIR),":[8],"a":[9,58],"crossover":[10],"based":[11],"local":[12],"search":[13,27],"method":[14],"for":[15,64,86],"Differential":[16],"Evolution":[17],"(DE).":[18],"The":[19,41],"FIR":[20,79],"scheme":[21],"accelerates":[22],"DE":[23,46,85,98],"by":[24,48],"enhancing":[25],"its":[26],"capability":[28],"through":[29],"exploration":[30],"of":[31,34,45,61,84,97,101,123],"the":[32,35,81,95],"neighborhood":[33],"best":[36],"solution":[37,56],"in":[38],"successive":[39],"generations.":[40],"memetic":[43,128],"version":[44],"(augmented":[47],"FIR)":[49],"is":[50,130],"expected":[51],"to":[52],"obtain":[53],"an":[54],"acceptable":[55],"with":[57,120],"lower":[59],"number":[60],"evaluations":[62],"particularly":[63],"higher":[65],"dimensional":[66],"functions.":[67],"Using":[68],"two":[69],"different":[70],"implementations":[71],"DEfirDE":[72],"and":[73],"DEfirSPX":[74],"showed":[76,108],"that":[77],"increases":[80],"convergence":[82],"velocity":[83],"well":[87,92,124],"known":[88,125],"benchmark":[89],"functions":[90],"as":[91,93],"improves":[94],"robustness":[96],"against":[99],"variation":[100],"population.":[102],"Experiments":[103],"using":[104],"multimodal":[105],"landscape":[106],"generator":[107],"our":[109],"algorithms":[111,129],"consistently":[112],"outperformed":[113],"their":[114],"parent":[115],"algorithms.":[116],"A":[117],"performance":[118],"comparison":[119],"reported":[121],"results":[122],"real":[126],"coded":[127],"also":[131],"presented.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":10}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
