{"id":"https://openalex.org/W2535578720","doi":"https://doi.org/10.1109/fskd.2016.7603168","title":"An enhanced bacterial foraging optimization with adaptive elimination-dispersal probability and PSO strategy","display_name":"An enhanced bacterial foraging optimization with adaptive elimination-dispersal probability and PSO strategy","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2535578720","doi":"https://doi.org/10.1109/fskd.2016.7603168","mag":"2535578720"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2016.7603168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2016.7603168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5060961571","display_name":"Xiongfa Mai","orcid":"https://orcid.org/0000-0002-6891-7822"},"institutions":[{"id":"https://openalex.org/I167274908","display_name":"Guangxi University for Nationalities","ror":"https://ror.org/0495efn48","country_code":"CN","type":"education","lineage":["https://openalex.org/I167274908"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mai Xiong-fa","raw_affiliation_strings":["Guangxi Key laboratory of hybrid computation and IC design analysis, Guangxi University for Nationalities, Naning, China","Ministry of Education, Guangxi Teachers Education University, Nanning, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key laboratory of hybrid computation and IC design analysis, Guangxi University for Nationalities, Naning, China","institution_ids":["https://openalex.org/I167274908"]},{"raw_affiliation_string":"Ministry of Education, Guangxi Teachers Education University, Nanning, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100749923","display_name":"Ling Li","orcid":"https://orcid.org/0000-0001-7410-0977"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Ling","raw_affiliation_strings":["College of Geophysics, Chengdu University of Technology, Chengdu, Sichuan, P.R. China","Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation, Guangxi Teachers Education University, Nanning, China"],"affiliations":[{"raw_affiliation_string":"College of Geophysics, Chengdu University of Technology, Chengdu, Sichuan, P.R. China","institution_ids":["https://openalex.org/I31595395"]},{"raw_affiliation_string":"Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation, Guangxi Teachers Education University, Nanning, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060961571"],"corresponding_institution_ids":["https://openalex.org/I167274908"],"apc_list":null,"apc_paid":null,"fwci":1.2852,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87227864,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"161","last_page":"166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9987000226974487,"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":0.9987000226974487,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9359999895095825,"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/foraging","display_name":"Foraging","score":0.8786406517028809},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.771228551864624},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6516631841659546},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6503753066062927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6113697290420532},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5989702939987183},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.47393423318862915},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.4326511025428772},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41322392225265503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2960560619831085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22135692834854126},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.15026476979255676},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10539993643760681},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.05228355526924133}],"concepts":[{"id":"https://openalex.org/C165287380","wikidata":"https://www.wikidata.org/wiki/Q2916569","display_name":"Foraging","level":2,"score":0.8786406517028809},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.771228551864624},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6516631841659546},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6503753066062927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6113697290420532},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5989702939987183},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.47393423318862915},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.4326511025428772},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41322392225265503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2960560619831085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22135692834854126},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.15026476979255676},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10539993643760681},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.05228355526924133},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"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":1,"locations":[{"id":"doi:10.1109/fskd.2016.7603168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2016.7603168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/W1967723270","https://openalex.org/W1997600725","https://openalex.org/W2059183091","https://openalex.org/W2065860555","https://openalex.org/W2067249643","https://openalex.org/W2076169154","https://openalex.org/W2085776465","https://openalex.org/W2103545758","https://openalex.org/W2122122715","https://openalex.org/W2123112559","https://openalex.org/W2125035539","https://openalex.org/W2152195021","https://openalex.org/W2153608551","https://openalex.org/W2339903092","https://openalex.org/W2370656392","https://openalex.org/W2386245505","https://openalex.org/W2410920389","https://openalex.org/W2764667959","https://openalex.org/W4285719527","https://openalex.org/W6704006115","https://openalex.org/W6710885650"],"related_works":["https://openalex.org/W4200081355","https://openalex.org/W3081944365","https://openalex.org/W2135179174","https://openalex.org/W1932300341","https://openalex.org/W2294784349","https://openalex.org/W2890381285","https://openalex.org/W1979659965","https://openalex.org/W2136432055","https://openalex.org/W301102721","https://openalex.org/W2133833450"],"abstract_inverted_index":{"Bacterial":[0,36],"Foraging":[1,37],"Optimization(BFO)":[2],"is":[3,22,40,46],"a":[4,47],"comparatively":[5],"new":[6,55,98],"optimization":[7],"algorithm":[8,56,99],"which":[9,45],"learn":[10],"from":[11],"the":[12,23,30,50,78,82,93,97,101],"foraging":[13],"behavior":[14],"of":[15,26,49,84,103],"bacteria.":[16],"The":[17],"elimination":[18],"and":[19,110],"dispersal":[20],"step":[21,25],"major":[24],"BFO":[27,52],"to":[28,63],"get":[29],"global":[31,105],"search":[32],"ability.":[33],"An":[34],"Enhanced":[35],"Algorithm":[38],"(EBFO)":[39],"presented":[41],"in":[42],"this":[43],"paper,":[44],"variation":[48],"original":[51],"algorithm.":[53],"This":[54],"uses":[57],"an":[58,70],"adaptive":[59],"elimination-dispersal":[60],"probability":[61],"according":[62],"bacterial":[64],"fitness,":[65],"meanwhile":[66],"it":[67],"carry":[68],"out":[69],"Particle":[71],"Swarm":[72],"Optimization":[73],"(PSO)":[74],"operator":[75],"just":[76],"after":[77],"swim":[79],"step.":[80],"From":[81],"result":[83],"experiment":[85],"on":[86],"6":[87],"benchmark":[88],"functions,":[89],"we":[90],"can":[91],"draw":[92],"following":[94],"conclusions":[95],"that":[96],"has":[100],"advantages":[102],"better":[104],"searching":[106],"ability,":[107],"speeder":[108],"convergence":[109],"more":[111],"precise":[112],"convergence.":[113]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}