{"id":"https://openalex.org/W3039411631","doi":"https://doi.org/10.1145/3377930.3390176","title":"Adaptively preserving solutions in both feasible and infeasible regions on generalized multiple constraint ranking","display_name":"Adaptively preserving solutions in both feasible and infeasible regions on generalized multiple constraint ranking","publication_year":2020,"publication_date":"2020-06-25","ids":{"openalex":"https://openalex.org/W3039411631","doi":"https://doi.org/10.1145/3377930.3390176","mag":"3039411631"},"language":"en","primary_location":{"id":"doi:10.1145/3377930.3390176","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377930.3390176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference","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/A5088561955","display_name":"Yohanes Bimo Dwianto","orcid":"https://orcid.org/0000-0003-0104-1069"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yohanes Bimo Dwianto","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072482766","display_name":"Hiroaki Fukumoto","orcid":"https://orcid.org/0000-0003-2489-9121"},"institutions":[{"id":"https://openalex.org/I2800865746","display_name":"Japan Aerospace Exploration Agency","ror":"https://ror.org/059yhyy33","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800865746"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroaki Fukumoto","raw_affiliation_strings":["Japan Aerospace Exploration Agency, Sagamihara, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Japan Aerospace Exploration Agency, Sagamihara, Kanagawa, Japan","institution_ids":["https://openalex.org/I2800865746"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016516233","display_name":"Akira Oyama","orcid":"https://orcid.org/0000-0003-1432-8165"},"institutions":[{"id":"https://openalex.org/I2800865746","display_name":"Japan Aerospace Exploration Agency","ror":"https://ror.org/059yhyy33","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800865746"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Oyama","raw_affiliation_strings":["Japan Aerospace Exploration Agency, Sagamihara, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Japan Aerospace Exploration Agency, Sagamihara, Kanagawa, Japan","institution_ids":["https://openalex.org/I2800865746"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6742,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60900322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"690","last_page":"698"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9991999864578247,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/benchmark","display_name":"Benchmark (surveying)","score":0.7906957864761353},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7330548763275146},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7035538554191589},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6864755749702454},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6412099599838257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5995978116989136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2714172601699829},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16731885075569153}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7906957864761353},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7330548763275146},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7035538554191589},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6864755749702454},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6412099599838257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5995978116989136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2714172601699829},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16731885075569153},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377930.3390176","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377930.3390176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W182470170","https://openalex.org/W1440739095","https://openalex.org/W1573449042","https://openalex.org/W1998054348","https://openalex.org/W2007351764","https://openalex.org/W2039577332","https://openalex.org/W2068897151","https://openalex.org/W2102343719","https://openalex.org/W2110368321","https://openalex.org/W2147271386","https://openalex.org/W2151339633","https://openalex.org/W2220913511","https://openalex.org/W2288517616","https://openalex.org/W2605842252","https://openalex.org/W2881530539","https://openalex.org/W2884286806","https://openalex.org/W2953626963","https://openalex.org/W3102018295","https://openalex.org/W4300997061"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W2349580982"],"abstract_inverted_index":{"In":[0,72],"the":[1,36,45,49,73,99,120,131,158,172],"present":[2,74],"work,":[3,75],"we":[4,126,154],"propose":[5],"some":[6,129],"new":[7],"modifications":[8,133],"of":[9,35,130,146],"an":[10,94,167],"existing":[11],"constraint":[12,26],"handling":[13],"technique":[14],"(CHT)":[15],"for":[16],"single-objective":[17],"optimization":[18],"problems.":[19,147],"The":[20],"base":[21],"CHT":[22],"is":[23,30,53,77],"generalized":[24],"multiple":[25],"ranking":[27],"(G-MCR),":[28],"which":[29],"already":[31],"a":[32,65,82],"modified":[33,79],"version":[34],"original":[37,46],"CHT,":[38],"MCR.":[39],"Despite":[40],"that":[41,55,98,128,157],"G-MCR":[42,56,76],"significantly":[43],"outperformed":[44],"MCR":[47],"in":[48,93,170],"previous":[50],"study,":[51],"it":[52],"found":[54],"tends":[57],"to":[58,80],"generate":[59],"very":[60],"few":[61],"feasible":[62,86,102],"individuals":[63,89],"on":[64,90,119,122,143,162],"certain":[66],"real-world":[67,149],"like":[68,150],"engineering":[69,151],"design":[70,152],"problem.":[71],"further":[78],"strike":[81],"better":[83],"balance":[84],"between":[85,101],"and":[87,103],"infeasible":[88,104],"each":[91,163],"generation":[92,164],"adaptive":[95],"way":[96],"so":[97],"interaction":[100],"regions":[105],"can":[106],"be":[107],"maintained,":[108],"thus":[109],"providing":[110],"more":[111,135],"efficient":[112],"search":[113],"towards":[114],"constrained":[115],"global":[116],"optimum.":[117],"Based":[118],"investigation":[121],"78":[123],"benchmark":[124],"problems,":[125,153],"obtain":[127],"proposed":[132],"produce":[134],"robust":[136],"convergence":[137,173],"performance":[138],"by":[139],"obtaining":[140],"significant":[141],"superiority":[142],"many":[144],"types":[145],"On":[148],"also":[155],"observe":[156],"feasibility":[159],"ratio":[160],"generated":[161],"might":[165],"have":[166],"important":[168],"role":[169],"improving":[171],"performance.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
