{"id":"https://openalex.org/W2017739929","doi":"https://doi.org/10.1109/cec.2013.6557637","title":"Group Counseling Optimization for multi-objective functions","display_name":"Group Counseling Optimization for multi-objective functions","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2017739929","doi":"https://doi.org/10.1109/cec.2013.6557637","mag":"2017739929"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2013.6557637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2013.6557637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},"type":"conference-paper","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/A5060323378","display_name":"Hamid Ali","orcid":"https://orcid.org/0000-0002-2664-992X"},"institutions":[{"id":"https://openalex.org/I201384688","display_name":"National University of Computer and Emerging Sciences","ror":"https://ror.org/003eyb898","country_code":"PK","type":"education","lineage":["https://openalex.org/I201384688"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Hamid Ali","raw_affiliation_strings":["Department of Computer Science, National University of Computer and Emerging Sciences, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National University of Computer and Emerging Sciences, Islamabad, Pakistan","institution_ids":["https://openalex.org/I201384688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018881921","display_name":"Farrukh Aslam Khan","orcid":"https://orcid.org/0000-0002-7023-7172"},"institutions":[{"id":"https://openalex.org/I201384688","display_name":"National University of Computer and Emerging Sciences","ror":"https://ror.org/003eyb898","country_code":"PK","type":"education","lineage":["https://openalex.org/I201384688"]},{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["PK","SA"],"is_corresponding":false,"raw_author_name":"Farrukh Aslam Khan","raw_affiliation_strings":["Center of Excellence in Information Assurance (CoEIA), King Saud University, Riyadh, Saudi Arabia","Department of Computer Science, National University of Computer and Emerging Sciences, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Excellence in Information Assurance (CoEIA), King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]},{"raw_affiliation_string":"Department of Computer Science, National University of Computer and Emerging Sciences, Islamabad, Pakistan","institution_ids":["https://openalex.org/I201384688"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"705","last_page":"712"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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":1.0,"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":0.9983999729156494,"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":0.9941999912261963,"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/mathematical-optimization","display_name":"Mathematical optimization","score":0.6526131629943848},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6525262594223022},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6383889317512512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5846118927001953},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.533860981464386},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5114737749099731},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.445669025182724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1773918867111206}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6526131629943848},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6525262594223022},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6383889317512512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5846118927001953},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.533860981464386},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5114737749099731},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.445669025182724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1773918867111206},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2013.6557637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2013.6557637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1479771599","https://openalex.org/W1504943474","https://openalex.org/W1557952864","https://openalex.org/W1595498733","https://openalex.org/W1827092654","https://openalex.org/W1989951619","https://openalex.org/W1998674867","https://openalex.org/W2036737894","https://openalex.org/W2052828675","https://openalex.org/W2065527711","https://openalex.org/W2107941094","https://openalex.org/W2121365620","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2131875370","https://openalex.org/W2161055009","https://openalex.org/W2165171393","https://openalex.org/W2166199068"],"related_works":["https://openalex.org/W2996366161","https://openalex.org/W2090178682","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2073147994","https://openalex.org/W1588199609","https://openalex.org/W2384474142","https://openalex.org/W1550055091","https://openalex.org/W2744462909","https://openalex.org/W3083133203"],"abstract_inverted_index":{"Group":[0,103],"Counseling":[1,104],"Optimizer":[2,105],"(GCO)":[3],"is":[4,56,107,132],"a":[5,18,50,82,140],"new":[6],"heuristic":[7],"inspired":[8],"by":[9],"human":[10],"behavior":[11],"in":[12,27,58,74,87],"problem":[13],"solving":[14],"during":[15],"counseling":[16,84],"within":[17],"group.":[19],"GCO":[20,54,90],"has":[21,37],"been":[22,39],"found":[23],"to":[24,41,60,64,71,143],"be":[25,137],"successful":[26],"case":[28],"of":[29,97,125],"single-objective":[30],"optimization":[31,45,67,146],"problems,":[32],"but":[33],"so":[34],"far":[35],"it":[36],"not":[38],"extended":[40],"deal":[42],"with":[43],"multi-objective":[44,66,145],"problems.":[46,68,147],"In":[47,69],"this":[48,62],"paper,":[49],"Pareto":[51],"dominance":[52],"based":[53],"technique":[55],"presented":[57],"order":[59,70],"allow":[61],"approach":[63,131],"handle":[65],"compute":[72],"change":[73],"decision":[75],"for":[76,120],"each":[77],"individual,":[78],"we":[79],"also":[80],"incorporate":[81],"selfbelief":[83],"probability":[85],"operator":[86],"the":[88,94,118,130],"original":[89],"algorithm":[91],"that":[92,129],"enriches":[93],"exploratory":[95],"capabilities":[96],"our":[98,126],"algorithm.":[99],"The":[100,123],"proposed":[101],"Multi-objective":[102],"(MOGCO)":[106],"tested":[108],"using":[109],"several":[110],"standard":[111],"benchmark":[112],"functions":[113],"and":[114,135],"metrics":[115],"taken":[116],"from":[117],"literature":[119],"multiobjective":[121],"optimization.":[122],"results":[124],"experiments":[127],"indicate":[128],"highly":[133],"competitive":[134],"can":[136],"considered":[138],"as":[139],"viable":[141],"alternative":[142],"solve":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
