{"id":"https://openalex.org/W2730742169","doi":"https://doi.org/10.1109/cec.2017.7969366","title":"Empirical study of bound constraint-handling methods in Particle Swarm Optimization for constrained search spaces","display_name":"Empirical study of bound constraint-handling methods in Particle Swarm Optimization for constrained search spaces","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2730742169","doi":"https://doi.org/10.1109/cec.2017.7969366","mag":"2730742169"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2017.7969366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2017.7969366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Congress on Evolutionary Computation (CEC)","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/A5050112701","display_name":"Efr\u00e9n Ju\u00e1rez-Castillo","orcid":"https://orcid.org/0000-0002-2136-2516"},"institutions":[{"id":"https://openalex.org/I147280213","display_name":"Universidad Veracruzana","ror":"https://ror.org/03efxn362","country_code":"MX","type":"education","lineage":["https://openalex.org/I147280213"]},{"id":"https://openalex.org/I3129323158","display_name":"Universidad de Xalapa","ror":"https://ror.org/02aneaq95","country_code":"MX","type":"education","lineage":["https://openalex.org/I3129323158"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Efren Juarez-Castillo","raw_affiliation_strings":["Artificial Intelligence Research Center, University of Veracruz, Xalapa, Veracruz, MEXICO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center, University of Veracruz, Xalapa, Veracruz, MEXICO","institution_ids":["https://openalex.org/I3129323158","https://openalex.org/I147280213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054287457","display_name":"H\u00e9ctor\u2010Gabriel Acosta\u2010Mesa","orcid":"https://orcid.org/0000-0002-0935-7642"},"institutions":[{"id":"https://openalex.org/I147280213","display_name":"Universidad Veracruzana","ror":"https://ror.org/03efxn362","country_code":"MX","type":"education","lineage":["https://openalex.org/I147280213"]},{"id":"https://openalex.org/I3129323158","display_name":"Universidad de Xalapa","ror":"https://ror.org/02aneaq95","country_code":"MX","type":"education","lineage":["https://openalex.org/I3129323158"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Hector-Gabriel Acosta-Mesa","raw_affiliation_strings":["Artificial Intelligence Research Center, University of Veracruz, Xalapa, Veracruz, MEXICO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center, University of Veracruz, Xalapa, Veracruz, MEXICO","institution_ids":["https://openalex.org/I3129323158","https://openalex.org/I147280213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058469717","display_name":"Efr\u00e9n Mezura\u2010Montes","orcid":"https://orcid.org/0000-0002-1565-5267"},"institutions":[{"id":"https://openalex.org/I147280213","display_name":"Universidad Veracruzana","ror":"https://ror.org/03efxn362","country_code":"MX","type":"education","lineage":["https://openalex.org/I147280213"]},{"id":"https://openalex.org/I3129323158","display_name":"Universidad de Xalapa","ror":"https://ror.org/02aneaq95","country_code":"MX","type":"education","lineage":["https://openalex.org/I3129323158"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Efren Mezura-Montes","raw_affiliation_strings":["Artificial Intelligence Research Center, University of Veracruz, Xalapa, Veracruz, MEXICO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center, University of Veracruz, Xalapa, Veracruz, MEXICO","institution_ids":["https://openalex.org/I3129323158","https://openalex.org/I147280213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6196,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.76848309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"604","last_page":"611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9922999739646912,"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":0.9865000247955322,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7716778516769409},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.706795334815979},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6629821062088013},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6013514399528503},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.5903521180152893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.575814425945282},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5513399839401245},{"id":"https://openalex.org/keywords/constrained-optimization","display_name":"Constrained optimization","score":0.5450584888458252},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5440887212753296},{"id":"https://openalex.org/keywords/feasible-region","display_name":"Feasible region","score":0.5101500153541565},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.5025906562805176},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.49483412504196167},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3289223313331604},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2725939154624939},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16504305601119995}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7716778516769409},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.706795334815979},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6629821062088013},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6013514399528503},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.5903521180152893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.575814425945282},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5513399839401245},{"id":"https://openalex.org/C55660270","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization","level":2,"score":0.5450584888458252},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5440887212753296},{"id":"https://openalex.org/C177067428","wikidata":"https://www.wikidata.org/wiki/Q17013331","display_name":"Feasible region","level":2,"score":0.5101500153541565},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.5025906562805176},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.49483412504196167},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3289223313331604},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2725939154624939},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16504305601119995},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2017.7969366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2017.7969366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321739","display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","ror":"https://ror.org/059ex5q34"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W27267532","https://openalex.org/W1205809147","https://openalex.org/W1507015292","https://openalex.org/W1544309315","https://openalex.org/W1558736780","https://openalex.org/W1576888158","https://openalex.org/W1586128443","https://openalex.org/W1907005258","https://openalex.org/W1952851966","https://openalex.org/W1970947727","https://openalex.org/W2006291708","https://openalex.org/W2012229785","https://openalex.org/W2040943733","https://openalex.org/W2059361271","https://openalex.org/W2059400389","https://openalex.org/W2106142381","https://openalex.org/W2109364787","https://openalex.org/W2110368321","https://openalex.org/W2139386984","https://openalex.org/W2142375107","https://openalex.org/W2145479420","https://openalex.org/W2151339633","https://openalex.org/W2152457795","https://openalex.org/W2169245194","https://openalex.org/W2169600442","https://openalex.org/W2237809255","https://openalex.org/W2288517616","https://openalex.org/W3102018295","https://openalex.org/W4230073927"],"related_works":["https://openalex.org/W2161494499","https://openalex.org/W2911636622","https://openalex.org/W2373498573","https://openalex.org/W2364096116","https://openalex.org/W3215717773","https://openalex.org/W2912146214","https://openalex.org/W2167999936","https://openalex.org/W2134836947","https://openalex.org/W2000609527","https://openalex.org/W3104770499"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,36],"empirical":[4],"study":[5],"comparing":[6],"the":[7,52,57,71,85,88,92],"performance":[8],"of":[9,26,39],"thirty-five":[10],"boundary":[11],"constraint-handling":[12],"methods":[13],"(BCHM)":[14],"for":[15],"PSO":[16],"in":[17,23],"constrained":[18,29],"optimization,":[19],"which":[20],"were":[21],"tested":[22],"a":[24,60],"set":[25],"thirty-six":[27],"well-known":[28],"problems.":[30],"Each":[31],"BCHM":[32],"is":[33,75],"composed":[34],"as":[35],"hybrid":[37,53],"consisting":[38],"one":[40,45],"position":[41,61],"update":[42,47,62],"techniques":[43],"and":[44,66,82,91],"velocity":[46,69],"strategy.":[48],"Results":[49],"show":[50],"that":[51,55],"method":[54],"relocates":[56],"particles":[58],"through":[59,70],"technique":[63],"called":[64],"Centroid":[65],"modifies":[67],"its":[68],"Deterministic":[72],"Back":[73],"strategy":[74],"able":[76],"to":[77,87,94],"promote":[78],"better":[79,96],"final":[80],"results":[81],"improving":[83],"both,":[84],"approach":[86],"feasible":[89,97],"region":[90],"ability":[93],"generate":[95],"solutions.":[98]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}