{"id":"https://openalex.org/W2829035005","doi":"https://doi.org/10.3233/jifs-169749","title":"Intelligent optimization algorithm of non-convex function based on genetic algorithm","display_name":"Intelligent optimization algorithm of non-convex function based on genetic algorithm","publication_year":2018,"publication_date":"2018-07-06","ids":{"openalex":"https://openalex.org/W2829035005","doi":"https://doi.org/10.3233/jifs-169749","mag":"2829035005"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-169749","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169749","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5044233783","display_name":"Xi Zhao","orcid":"https://orcid.org/0000-0001-9983-6366"},"institutions":[{"id":"https://openalex.org/I32820368","display_name":"Guangdong Polytechnic of Science and Technology","ror":"https://ror.org/01wq2p249","country_code":"CN","type":"education","lineage":["https://openalex.org/I32820368"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xi Zhao","raw_affiliation_strings":["Computer Engineering Technical College, Guangdong Polytechnic of Science and Technology, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Computer Engineering Technical College, Guangdong Polytechnic of Science and Technology, Zhuhai, China","institution_ids":["https://openalex.org/I32820368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414163","display_name":"Ying Li","orcid":"https://orcid.org/0000-0002-1705-2494"},"institutions":[{"id":"https://openalex.org/I32820368","display_name":"Guangdong Polytechnic of Science and Technology","ror":"https://ror.org/01wq2p249","country_code":"CN","type":"education","lineage":["https://openalex.org/I32820368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Li","raw_affiliation_strings":["Computer Engineering Technical College, Guangdong Polytechnic of Science and Technology, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Computer Engineering Technical College, Guangdong Polytechnic of Science and Technology, Zhuhai, China","institution_ids":["https://openalex.org/I32820368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034028886","display_name":"P. Boonen","orcid":null},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"P. Boonen","raw_affiliation_strings":["Department of Econometrics and Operations Research, Tilburg University, Tilburg, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Econometrics and Operations Research, Tilburg University, Tilburg, Netherlands","institution_ids":["https://openalex.org/I193700539"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044233783"],"corresponding_institution_ids":["https://openalex.org/I32820368"],"apc_list":null,"apc_paid":null,"fwci":0.3258,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66796826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"35","issue":"4","first_page":"4289","last_page":"4297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9322999715805054,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9322999715805054,"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/T12546","display_name":"Smart Parking Systems Research","score":0.9193999767303467,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9132000207901001,"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/algorithm","display_name":"Algorithm","score":0.629632294178009},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6049542427062988},{"id":"https://openalex.org/keywords/proper-convex-function","display_name":"Proper convex function","score":0.5304878354072571},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5192790031433105},{"id":"https://openalex.org/keywords/conic-optimization","display_name":"Conic optimization","score":0.5140055418014526},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.4976659119129181},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.49025753140449524},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.4731484651565552},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.47195377945899963},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4650610089302063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4512769281864166},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.4264547824859619},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.418888658285141},{"id":"https://openalex.org/keywords/convexity","display_name":"Convexity","score":0.41797661781311035},{"id":"https://openalex.org/keywords/convex-combination","display_name":"Convex combination","score":0.3986176550388336},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3476952016353607}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.629632294178009},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6049542427062988},{"id":"https://openalex.org/C50862404","wikidata":"https://www.wikidata.org/wiki/Q3075259","display_name":"Proper convex function","level":5,"score":0.5304878354072571},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5192790031433105},{"id":"https://openalex.org/C79187972","wikidata":"https://www.wikidata.org/wiki/Q2654791","display_name":"Conic optimization","level":5,"score":0.5140055418014526},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.4976659119129181},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49025753140449524},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.4731484651565552},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.47195377945899963},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4650610089302063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4512769281864166},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.4264547824859619},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.418888658285141},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.41797661781311035},{"id":"https://openalex.org/C111110010","wikidata":"https://www.wikidata.org/wiki/Q2627315","display_name":"Convex combination","level":4,"score":0.3986176550388336},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3476952016353607},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-169749","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169749","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W760913798","https://openalex.org/W2009214841","https://openalex.org/W2016596569","https://openalex.org/W2018672358","https://openalex.org/W2045766411","https://openalex.org/W2049556680","https://openalex.org/W2150154628","https://openalex.org/W2218341953","https://openalex.org/W2299651280","https://openalex.org/W2363405293","https://openalex.org/W2514267152","https://openalex.org/W2562946295","https://openalex.org/W2563068928","https://openalex.org/W2734508506","https://openalex.org/W2784673410","https://openalex.org/W2789027102","https://openalex.org/W2963035920"],"related_works":["https://openalex.org/W3107799181","https://openalex.org/W3139158759","https://openalex.org/W3135309989","https://openalex.org/W4382519084","https://openalex.org/W1601341493","https://openalex.org/W4200031614","https://openalex.org/W4256242347","https://openalex.org/W2416023565","https://openalex.org/W4390064375","https://openalex.org/W1526178065"],"abstract_inverted_index":{"There":[0],"are":[1,72,108],"many":[2],"local":[3,18],"optimums":[4],"for":[5,38],"the":[6,17,23,58,97,101,105,112,119,125,132,136,156,161,166,170],"non-convex":[7,27,39,69,120,144,167],"function.":[8,28,127],"The":[9,84,93,115,128],"traditional":[10],"algorithm":[11,37,44,90,158],"is":[12,45,54,91,122,139,146,173],"easy":[13],"to":[14,110],"fall":[15],"into":[16],"optimum":[19],"and":[20,66,80,104,135,169],"cannot":[21],"obtain":[22,160],"optimal":[24,163],"solution":[25,164],"of":[26,60,88,118,143,165],"To":[29],"address":[30],"this":[31,48],"problem,":[32],"a":[33],"new":[34],"intelligent":[35],"optimization":[36,142,171],"function":[40,70,121,134,138,145],"based":[41],"on":[42],"genetic":[43,89,150],"proposed":[46,157],"in":[47],"paper.":[49],"A":[50],"proximal":[51,61],"point":[52,62],"sequence":[53],"obtained":[55],"by":[56,74,148],"using":[57],"idea":[59],"algorithm.":[63,151],"Two":[64],"simple":[65],"easily":[67],"solved":[68],"subproblems":[71],"constructed":[73],"convexity":[75],"technique,":[76],"cutting":[77],"plane":[78],"method,":[79],"alternating":[81],"linearization":[82],"method.":[83],"basic":[85],"operation":[86],"process":[87],"analyzed.":[92],"combination":[94],"selection":[95],"operator,":[96],"initial":[98],"population":[99],"molding,":[100],"cross":[102],"probability":[103,107],"mutation":[106],"improved":[109],"ensure":[111],"global":[113,162],"optimum.":[114],"processing":[116],"result":[117],"taken":[123],"as":[124],"objective":[126,137],"mapping":[129],"relationship":[130],"between":[131],"fitness":[133],"constructed.":[140],"Intelligent":[141],"achieved":[147],"optimized":[149],"Experimental":[152],"results":[153],"show":[154],"that":[155],"can":[159],"function,":[168],"performance":[172],"better.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}