{"id":"https://openalex.org/W2104786420","doi":"https://doi.org/10.1109/cec.2011.5949934","title":"Solving optimization problems with intervals and hybrid indices using evolutionary algorithms","display_name":"Solving optimization problems with intervals and hybrid indices using evolutionary algorithms","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2104786420","doi":"https://doi.org/10.1109/cec.2011.5949934","mag":"2104786420"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2011.5949934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2011.5949934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Congress of 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/A5002766748","display_name":"Xinfang Ji","orcid":"https://orcid.org/0000-0002-3514-6777"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin-fang Ji","raw_affiliation_strings":["School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China","School of information and Electrical Engineering, China University of Mining and Technology, XuZhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of information and Electrical Engineering, China University of Mining and Technology, XuZhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101490563","display_name":"Dunwei Gong","orcid":"https://orcid.org/0000-0003-2838-4301"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dun-wei Gong","raw_affiliation_strings":["School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China","School of information and Electrical Engineering, China University of Mining and Technology, XuZhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of information and Electrical Engineering, China University of Mining and Technology, XuZhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033294046","display_name":"Xiaoping Ma","orcid":"https://orcid.org/0000-0003-1692-8797"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Ping Ma","raw_affiliation_strings":["School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China","School of information and Electrical Engineering, China University of Mining and Technology, XuZhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of information and Electrical Engineering, China University of Mining and Technology, XuZhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002766748"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":0.3138,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61322453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2542","last_page":"2549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9872999787330627,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9872999787330627,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9674000144004822,"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":0.9344000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.6903835535049438},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6344543695449829},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.567351222038269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5670779943466187},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5660714507102966},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5031608939170837},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5030497908592224},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4839635193347931},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4835910201072693},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4802146852016449},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4579957127571106},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4565339982509613},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.4478505551815033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3439289629459381},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2234448790550232}],"concepts":[{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.6903835535049438},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6344543695449829},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.567351222038269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5670779943466187},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5660714507102966},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5031608939170837},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5030497908592224},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4839635193347931},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4835910201072693},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4802146852016449},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4579957127571106},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4565339982509613},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.4478505551815033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3439289629459381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2234448790550232},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2011.5949934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2011.5949934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Congress of Evolutionary Computation (CEC)","raw_type":"proceedings-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/W1517951555","https://openalex.org/W1566457085","https://openalex.org/W1578474141","https://openalex.org/W2023002734","https://openalex.org/W2057286464","https://openalex.org/W2075468087","https://openalex.org/W2135796716","https://openalex.org/W2159001331","https://openalex.org/W2164484576","https://openalex.org/W2170589503","https://openalex.org/W2171996959","https://openalex.org/W2365401841","https://openalex.org/W2370638273","https://openalex.org/W6630716385","https://openalex.org/W6680057762","https://openalex.org/W6683443873","https://openalex.org/W6685239819"],"related_works":["https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W2145877535","https://openalex.org/W2744730182","https://openalex.org/W3134440233","https://openalex.org/W2751605210","https://openalex.org/W3151104768","https://openalex.org/W2419109832","https://openalex.org/W2068949283","https://openalex.org/W2022485595"],"abstract_inverted_index":{"Optimization":[0],"problems":[1,38],"with":[2,29,99,119,142,160],"intervals":[3],"and":[4,14,150,157],"hybrid":[5],"indices":[6,69],"are":[7,20,103,121],"common":[8],"in":[9,40,58,146],"real-world":[10],"applications.":[11],"Previous":[12],"theories":[13],"methods":[15],"suitable":[16],"for":[17],"them,":[18],"however,":[19],"few.":[21],"We":[22,128],"present":[23],"a":[24,30,46,138],"large":[25,47],"population":[26,48],"evolutionary":[27],"algorithm":[28,57,132],"user's":[31,82,94,113],"interval":[32,144,151],"preferences":[33,95,114],"to":[34,51,65,79,89,96,105,115,133],"effectively":[35],"solve":[36],"the":[37,53,56,67,71,74,81,93,97,100,112,130,134,147,154],"above":[39],"this":[41,44],"study.":[42],"In":[43,110],"algorithm,":[45],"is":[49,63,87],"adopted":[50],"improve":[52],"performance":[54],"of":[55,70,153],"exploration.":[59],"A":[60],"similarity-based":[61],"strategy":[62],"employed":[64],"estimate":[66],"implicit":[68,155],"individuals":[72,98],"that":[73],"user":[75],"has":[76],"not":[77],"evaluated":[78],"alleviate":[80],"fatigue.":[83],"When":[84],"Pareto":[85],"domination":[86],"utilized":[88],"compare":[90,158],"different":[91,116],"individuals,":[92],"same":[101],"rank":[102],"calculated":[104],"further":[106],"distinguish":[107],"their":[108],"performance.":[109],"addition,":[111],"indices,":[117],"expressed":[118],"intervals,":[120],"quantified":[122],"by":[123],"solving":[124],"another":[125],"optimization":[126,140,163],"problem.":[127],"apply":[129],"proposed":[131],"interior":[135],"layout":[136],"problem,":[137],"typical":[139],"one":[141],"both":[143],"parameters":[145],"explicit":[148],"index":[149],"value":[152],"index,":[156],"it":[159],"other":[161],"three":[162],"algorithms.":[164],"The":[165],"experimental":[166],"results":[167],"validate":[168],"its":[169],"superiority.":[170]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
