{"id":"https://openalex.org/W2999278103","doi":"https://doi.org/10.1109/access.2020.2966856","title":"Optimal Foraging Algorithm Based on Differential Evolution","display_name":"Optimal Foraging Algorithm Based on Differential Evolution","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2999278103","doi":"https://doi.org/10.1109/access.2020.2966856","mag":"2999278103"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2966856","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2966856","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08960322.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08960322.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032307166","display_name":"Yanming Fu","orcid":"https://orcid.org/0000-0003-3975-3512"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanming Fu","raw_affiliation_strings":["Computer and Electronic Information College, Guangxi University, Nanning, China"],"raw_orcid":"https://orcid.org/0000-0003-3975-3512","affiliations":[{"raw_affiliation_string":"Computer and Electronic Information College, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073541098","display_name":"Weizhi Zhang","orcid":"https://orcid.org/0000-0002-0396-808X"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhi Zhang","raw_affiliation_strings":["Computer and Electronic Information College, Guangxi University, Nanning, China"],"raw_orcid":"https://orcid.org/0000-0002-0396-808X","affiliations":[{"raw_affiliation_string":"Computer and Electronic Information College, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007495665","display_name":"Chiwen Qu","orcid":"https://orcid.org/0000-0002-0674-3126"},"institutions":[{"id":"https://openalex.org/I4210141223","display_name":"Baise University","ror":"https://ror.org/03f3rne76","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chiwen Qu","raw_affiliation_strings":["School of Information Engineering, Baise University, Baise, China"],"raw_orcid":"https://orcid.org/0000-0002-0674-3126","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Baise University, Baise, China","institution_ids":["https://openalex.org/I4210141223"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037485851","display_name":"Baohua Huang","orcid":"https://orcid.org/0000-0003-4717-4625"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baohua Huang","raw_affiliation_strings":["Computer and Electronic Information College, Guangxi University, Nanning, China"],"raw_orcid":"https://orcid.org/0000-0003-4717-4625","affiliations":[{"raw_affiliation_string":"Computer and Electronic Information College, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5416,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72340256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"8","issue":null,"first_page":"19657","last_page":"19678"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9937000274658203,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/knapsack-problem","display_name":"Knapsack problem","score":0.8549035787582397},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.8078781366348267},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.6573532819747925},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5869506597518921},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5783900022506714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5700585842132568},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5659838318824768},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.551866888999939},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5423688292503357},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.532046914100647},{"id":"https://openalex.org/keywords/foraging","display_name":"Foraging","score":0.49901485443115234},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.49677687883377075},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4232431650161743},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33156174421310425},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.2706248164176941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14955902099609375}],"concepts":[{"id":"https://openalex.org/C113138325","wikidata":"https://www.wikidata.org/wiki/Q864457","display_name":"Knapsack problem","level":2,"score":0.8549035787582397},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.8078781366348267},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.6573532819747925},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5869506597518921},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5783900022506714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5700585842132568},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5659838318824768},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.551866888999939},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5423688292503357},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.532046914100647},{"id":"https://openalex.org/C165287380","wikidata":"https://www.wikidata.org/wiki/Q2916569","display_name":"Foraging","level":2,"score":0.49901485443115234},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.49677687883377075},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4232431650161743},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33156174421310425},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.2706248164176941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14955902099609375},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"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/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2966856","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2966856","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08960322.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:001a543086034e87ae3cd48134801caf","is_oa":true,"landing_page_url":"https://doaj.org/article/001a543086034e87ae3cd48134801caf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 19657-19678 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2966856","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2966856","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08960322.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2957989915","display_name":"\u8f66\u8054\u7f51\u4e2d\u4e0d\u53ef\u4fe1\u5b9e\u4f53\u63cf\u8ff0\u4fe1\u606f\u7684\u5b89\u5168\u9ad8\u6548\u4f20\u64ad\u6a21\u578b\u7814\u7a76","funder_award_id":"61962005","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2999278103.pdf","grobid_xml":"https://content.openalex.org/works/W2999278103.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1593916827","https://openalex.org/W1595159159","https://openalex.org/W1717624869","https://openalex.org/W1998608446","https://openalex.org/W1999284878","https://openalex.org/W2007898191","https://openalex.org/W2010176468","https://openalex.org/W2014175286","https://openalex.org/W2024518622","https://openalex.org/W2042057184","https://openalex.org/W2083996043","https://openalex.org/W2107941094","https://openalex.org/W2117563571","https://openalex.org/W2127130980","https://openalex.org/W2146439308","https://openalex.org/W2232317135","https://openalex.org/W2287814884","https://openalex.org/W2290883490","https://openalex.org/W2306115793","https://openalex.org/W2529976425","https://openalex.org/W2560577126","https://openalex.org/W2567428193","https://openalex.org/W2738900493","https://openalex.org/W2767313359","https://openalex.org/W2787437401","https://openalex.org/W2810943382","https://openalex.org/W2811096586","https://openalex.org/W2978549477","https://openalex.org/W4252908937","https://openalex.org/W4297825776","https://openalex.org/W6638288848","https://openalex.org/W6677459682","https://openalex.org/W6696126189"],"related_works":["https://openalex.org/W2895647686","https://openalex.org/W2076472895","https://openalex.org/W2389275641","https://openalex.org/W1988293173","https://openalex.org/W3177681191","https://openalex.org/W2039847237","https://openalex.org/W2997917529","https://openalex.org/W1979249555","https://openalex.org/W4386858344","https://openalex.org/W3193631885"],"abstract_inverted_index":{"The":[0,59,68,87,112,160],"optimal":[1,49,99],"foraging":[2,14,50],"algorithm":[3,51],"(OFA)":[4],"was":[5],"proposed":[6],"by":[7],"summarizing":[8],"the":[9,12,23,26,77,85,98,106,110,121,142,145,156,164,173],"rules":[10],"of":[11,25,84,101,109,115,123,144,167],"animal":[13],"behavior":[15],"in":[16,131,147,163,178],"a":[17],"group.":[18],"Therefore":[19],"OFA":[20],"also":[21],"has":[22],"defects":[24],"swarm":[27],"intelligence":[28],"algorithm,":[29],"such":[30],"as":[31],"easy":[32],"to":[33,44,75,92,104,140,154],"trap":[34],"into":[35],"local":[36],"optimum":[37],"and":[38,65,70,80,136,181],"low":[39],"convergence":[40,78,107,134],"accuracy.":[41],"In":[42,138],"order":[43,139],"overcome":[45],"these":[46],"defects,":[47],"an":[48],"based":[52],"on":[53,97],"differential":[54,60],"evolution":[55,61],"(DEOFA)":[56],"is":[57,90,125,152],"proposed.":[58],"mechanism":[62],"contains":[63],"mutation":[64,69,88,94],"crossover":[66,71],"operators.":[67],"operators":[72],"are":[73],"used":[74],"accelerate":[76],"speed":[79,135],"global":[81],"search":[82,132],"capability":[83],"OFA.":[86,111],"operator":[89],"adopted":[91],"perform":[93],"operations":[95],"centered":[96],"individual":[100],"each":[102],"iteration":[103],"raise":[105],"accuracy":[108],"test":[113,161],"results":[114,162],"30":[116],"benchmark":[117],"functions":[118],"show":[119],"that":[120,172],"performance":[122,177],"DEOFA":[124,146,151,174],"better":[126,176],"than":[127],"nine":[128],"compared":[129],"algorithms":[130],"accuracy,":[133,179],"robustness.":[137],"verify":[141],"effectiveness":[143],"solving":[148],"practical":[149],"problems,":[150],"applied":[153],"solve":[155],"0-1":[157,168],"knapsack":[158,169],"problem.":[159],"six":[165],"examples":[166],"problems":[170],"indicate":[171],"achieves":[175],"stability":[180],"high":[182],"dimension.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
