{"id":"https://openalex.org/W2958271860","doi":"https://doi.org/10.1145/3319619.3321970","title":"Modified crowding distance and mutation for multimodal multi-objective optimization","display_name":"Modified crowding distance and mutation for multimodal multi-objective optimization","publication_year":2019,"publication_date":"2019-07-10","ids":{"openalex":"https://openalex.org/W2958271860","doi":"https://doi.org/10.1145/3319619.3321970","mag":"2958271860"},"language":"en","primary_location":{"id":"doi:10.1145/3319619.3321970","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319619.3321970","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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/A5018232689","display_name":"Mahrokh Javadi","orcid":"https://orcid.org/0000-0002-4787-8035"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke University Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Mahrokh Javadi","raw_affiliation_strings":["Otto-von-Guericke University, Magdeburg, Germany"],"affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010316655","display_name":"Heiner Zille","orcid":"https://orcid.org/0000-0002-7262-9487"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke University Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heiner Zille","raw_affiliation_strings":["Otto-von-Guericke University, Magdeburg, Germany"],"affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064569017","display_name":"Sanaz Mostaghim","orcid":"https://orcid.org/0000-0002-9917-5227"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke University Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sanaz Mostaghim","raw_affiliation_strings":["Otto-von-Guericke University, Magdeburg, Germany"],"affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018232689"],"corresponding_institution_ids":["https://openalex.org/I95793202"],"apc_list":null,"apc_paid":null,"fwci":3.4222,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.93431856,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"211","last_page":"212"},"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":0.9994000196456909,"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":0.9923999905586243,"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/computer-science","display_name":"Computer science","score":0.6262167692184448},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6043416857719421},{"id":"https://openalex.org/keywords/crowding","display_name":"Crowding","score":0.5615069270133972},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.543491542339325},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5360128879547119},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.49793124198913574},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.49540936946868896},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4657166004180908},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38873565196990967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3826495409011841},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28505954146385193}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6262167692184448},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6043416857719421},{"id":"https://openalex.org/C149333683","wikidata":"https://www.wikidata.org/wiki/Q5189188","display_name":"Crowding","level":2,"score":0.5615069270133972},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.543491542339325},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5360128879547119},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.49793124198913574},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.49540936946868896},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4657166004180908},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38873565196990967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3826495409011841},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28505954146385193},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3319619.3321970","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319619.3321970","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2116961716","https://openalex.org/W2126105956","https://openalex.org/W2158320871","https://openalex.org/W2558610617","https://openalex.org/W2758008099","https://openalex.org/W2764251381","https://openalex.org/W2795749052","https://openalex.org/W2899276225","https://openalex.org/W3216351816"],"related_works":["https://openalex.org/W2726551571","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/W2068949283","https://openalex.org/W3151104768","https://openalex.org/W2022485595"],"abstract_inverted_index":{"Many":[0],"real-world":[1],"applications":[2],"contain":[3],"complex":[4,32],"optimization":[5,26],"problems":[6,50,66],"with":[7,30,116],"several":[8],"conflicting":[9,44],"objectives.":[10,45],"Finding":[11],"a":[12,22,72,112,133,139,172],"solution":[13,150],"which":[14,109,143],"can":[15],"satisfy":[16],"all":[17,85],"the":[18,39,43,55,60,86,92,147,152,162,169],"objectives":[19],"is":[20],"usually":[21],"challenging":[23],"task":[24],"for":[25],"algorithms.":[27],"When":[28],"dealing":[29],"these":[31],"multi-objective":[33,130],"problems,":[34],"decision-makers":[35],"want":[36],"to":[37,80,126,167],"find":[38],"best":[40],"tradeoff":[41],"between":[42],"Another":[46],"challenge":[47],"occurs":[48],"in":[49,128,151],"where":[51],"multiple":[52],"configurations":[53],"of":[54,78,149,171],"input":[56],"variables":[57],"might":[58,76,110],"yield":[59],"same":[61,93],"objective":[62,94,106],"function":[63,107],"values.":[64],"Such":[65],"are":[67,165],"called":[68],"multimodal":[69,117,129,178],"problems.":[70,118],"For":[71],"decision":[73,153],"maker,":[74],"it":[75],"be":[77,111],"importance":[79],"obtain":[81],"enough":[82],"information":[83],"about":[84],"alternative":[87],"optimal":[88],"solutions":[89],"that":[90,161],"reach":[91],"value.":[95],"Traditionally,":[96],"Evolutionary":[97],"Algorithms":[98],"make":[99],"use":[100,127],"selection":[101],"processes":[102],"based":[103],"only":[104],"on":[105,175],"values,":[108],"disadvantage":[113],"when":[114],"faced":[115],"In":[119],"this":[120],"article,":[121],"we":[122],"present":[123],"two":[124],"operators":[125,164],"algorithms,":[131],"namely":[132],"modified":[134],"crowding":[135],"distance":[136],"operator":[137],"and":[138],"neighbourhood":[140],"Polynomial":[141],"mutation,":[142],"take":[144],"into":[145],"account":[146],"distribution":[148],"space":[154],"at":[155],"run-time.":[156],"Our":[157],"experimental":[158],"results":[159],"demonstrate":[160],"proposed":[163],"able":[166],"outperform":[168],"performance":[170],"state-of-the-art":[173],"method":[174],"six":[176],"current":[177],"benchmark":[179],"functions.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}