{"id":"https://openalex.org/W2138495065","doi":"https://doi.org/10.1145/1830483.1830700","title":"Mixed-integer evolution strategy using multiobjective selection applied to warehouse design optimization","display_name":"Mixed-integer evolution strategy using multiobjective selection applied to warehouse design optimization","publication_year":2010,"publication_date":"2010-07-07","ids":{"openalex":"https://openalex.org/W2138495065","doi":"https://doi.org/10.1145/1830483.1830700","mag":"2138495065"},"language":"en","primary_location":{"id":"doi:10.1145/1830483.1830700","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1830483.1830700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th annual conference on Genetic and evolutionary computation","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/A5000375310","display_name":"Edgar Reehuis","orcid":null},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Edgar Reehuis","raw_affiliation_strings":["Leiden University, Leiden, Netherlands"],"affiliations":[{"raw_affiliation_string":"Leiden University, Leiden, Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062646838","display_name":"Thomas B\u00e4ck","orcid":"https://orcid.org/0000-0001-6768-1478"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Thomas B\u00e4ck","raw_affiliation_strings":["Leiden University, Leiden, Netherlands"],"affiliations":[{"raw_affiliation_string":"Leiden University, Leiden, Netherlands","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000375310"],"corresponding_institution_ids":["https://openalex.org/I121797337"],"apc_list":null,"apc_paid":null,"fwci":1.3381,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.81721762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1187","last_page":"1194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9980000257492065,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.72602379322052},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6931825280189514},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.5607326030731201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5529296398162842},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5379154682159424},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4765354096889496},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.4551718831062317},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.4342893362045288},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27433979511260986},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1753925085067749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0937759280204773},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.08711880445480347}],"concepts":[{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.72602379322052},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6931825280189514},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.5607326030731201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5529296398162842},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5379154682159424},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4765354096889496},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.4551718831062317},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.4342893362045288},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27433979511260986},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1753925085067749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0937759280204773},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.08711880445480347},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1830483.1830700","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1830483.1830700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th annual conference on Genetic and evolutionary computation","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/W54123720","https://openalex.org/W73086096","https://openalex.org/W206440355","https://openalex.org/W1480479671","https://openalex.org/W1520931975","https://openalex.org/W1525375343","https://openalex.org/W1551780934","https://openalex.org/W1558919105","https://openalex.org/W1559956479","https://openalex.org/W1584834954","https://openalex.org/W1968098666","https://openalex.org/W2100830227","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2136918060","https://openalex.org/W2167159964","https://openalex.org/W2284054878"],"related_works":["https://openalex.org/W2402393579","https://openalex.org/W2047683846","https://openalex.org/W2044902158","https://openalex.org/W2109912052","https://openalex.org/W1711527768","https://openalex.org/W2090178682","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2073147994","https://openalex.org/W1588199609"],"abstract_inverted_index":{"This":[0],"paper":[1],"reports":[2],"about":[3],"the":[4,102,112,114,120,127,131,141],"application":[5],"of":[6,10,95],"a":[7,16,36,41,69],"new":[8],"variant":[9],"multiobjective":[11,37,42],"Mixed-Integer":[12],"Evolution":[13],"Strategy":[14],"to":[15,25,126,135,146],"warehouse":[17,58,70,80],"design":[18,59],"optimization":[19,60],"problem.":[20],"The":[21,57],"algorithm":[22,115,132],"is":[23,66,133],"able":[24,134],"deal":[26],"with":[27,144],"real-valued,":[28],"integer,":[29],"and":[30,39,91],"discrete":[31],"nominal":[32],"input":[33],"variables":[34],"in":[35,63],"problem,":[38],"utilizes":[40],"selection":[43],"procedure":[44],"based":[45],"on":[46,140],"either":[47],"crowding":[48],"distance":[49],"or":[50],"hypervolume":[51],"contribution":[52],"(also":[53],"called":[54],"S":[55],"metric).":[56],"problem":[61],"investigated":[62],"this":[64],"study":[65],"represented":[67,106],"by":[68,73,111],"simulator":[71],"(provided":[72],"our":[74],"collaboration":[75],"partner)":[76],"which":[77,118,138],"calculates":[78],"four":[79],"performance":[81],"measures:":[82],"total":[83],"handling":[84],"time,":[85],"crate":[86],"fill":[87],"rate,":[88],"order":[89],"latency,":[90],"investment":[92],"cost.":[93],"Two":[94],"those":[96],"are":[97,105],"treated":[98],"as":[99,107,124],"objectives,":[100],"while":[101],"other":[103],"two":[104],"constraints.":[108],"As":[109],"demonstrated":[110],"results,":[113],"generates":[116],"solutions":[117,137,143],"cover":[119],"whole":[121],"Pareto":[122],"front,":[123],"opposed":[125],"expert-generated":[128,142],"solutions.":[129],"Moreover,":[130],"find":[136],"improve":[139],"respect":[145],"both":[147],"objectives.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
