{"id":"https://openalex.org/W4294876381","doi":"https://doi.org/10.1145/3561974","title":"Analysis of Evolutionary Diversity Optimization for Permutation Problems","display_name":"Analysis of Evolutionary Diversity Optimization for Permutation Problems","publication_year":2022,"publication_date":"2022-09-07","ids":{"openalex":"https://openalex.org/W4294876381","doi":"https://doi.org/10.1145/3561974"},"language":"en","primary_location":{"id":"doi:10.1145/3561974","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3561974","pdf_url":null,"source":{"id":"https://openalex.org/S4210221532","display_name":"ACM Transactions on Evolutionary Learning and Optimization","issn_l":"2688-299X","issn":["2688-299X","2688-3007"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Evolutionary Learning and Optimization","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2102.11469","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043146473","display_name":"Anh Viet","orcid":"https://orcid.org/0000-0003-3850-1671"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Anh Do","raw_affiliation_strings":["Optimisation and Logistics, School of Computer Science, The University of Adelaide, Adelaide, Australia"],"affiliations":[{"raw_affiliation_string":"Optimisation and Logistics, School of Computer Science, The University of Adelaide, Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019911052","display_name":"Mingyu Guo","orcid":"https://orcid.org/0000-0002-3478-9201"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mingyu Guo","raw_affiliation_strings":["Optimisation and Logistics, School of Computer Science, The University of Adelaide, Adelaide, Australia"],"affiliations":[{"raw_affiliation_string":"Optimisation and Logistics, School of Computer Science, The University of Adelaide, Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001757263","display_name":"Aneta Neumann","orcid":"https://orcid.org/0000-0002-0036-4782"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Aneta Neumann","raw_affiliation_strings":["Optimisation and Logistics, School of Computer Science, The University of Adelaide, Adelaide, Australia"],"affiliations":[{"raw_affiliation_string":"Optimisation and Logistics, School of Computer Science, The University of Adelaide, Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089531887","display_name":"Frank Neumann","orcid":"https://orcid.org/0000-0002-2721-3618"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Frank Neumann","raw_affiliation_strings":["Optimisation and Logistics, School of Computer Science, The University of Adelaide, Adelaide, Australia"],"affiliations":[{"raw_affiliation_string":"Optimisation and Logistics, School of Computer Science, The University of Adelaide, Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043146473"],"corresponding_institution_ids":["https://openalex.org/I5681781"],"apc_list":null,"apc_paid":null,"fwci":2.2079,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.89475921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"2","issue":"3","first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9990000128746033,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9965000152587891,"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"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.7124176025390625},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.6537348628044128},{"id":"https://openalex.org/keywords/quadratic-assignment-problem","display_name":"Quadratic assignment problem","score":0.6400412917137146},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6017802953720093},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5794315338134766},{"id":"https://openalex.org/keywords/quartic-function","display_name":"Quartic function","score":0.5698542594909668},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5268672108650208},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.5152723789215088},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.51523357629776},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5093761682510376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48102742433547974},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4695713520050049},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.454900860786438},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.09727939963340759},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06740608811378479}],"concepts":[{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.7124176025390625},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.6537348628044128},{"id":"https://openalex.org/C98036226","wikidata":"https://www.wikidata.org/wiki/Q7268356","display_name":"Quadratic assignment problem","level":3,"score":0.6400412917137146},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6017802953720093},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5794315338134766},{"id":"https://openalex.org/C130432447","wikidata":"https://www.wikidata.org/wiki/Q11420049","display_name":"Quartic function","level":2,"score":0.5698542594909668},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5268672108650208},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.5152723789215088},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.51523357629776},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5093761682510376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48102742433547974},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4695713520050049},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.454900860786438},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.09727939963340759},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06740608811378479},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3561974","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3561974","pdf_url":null,"source":{"id":"https://openalex.org/S4210221532","display_name":"ACM Transactions on Evolutionary Learning and Optimization","issn_l":"2688-299X","issn":["2688-299X","2688-3007"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Evolutionary Learning and Optimization","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2102.11469","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.11469","pdf_url":"https://arxiv.org/pdf/2102.11469","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2102.11469","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.11469","pdf_url":"https://arxiv.org/pdf/2102.11469","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4294876381.pdf","grobid_xml":"https://content.openalex.org/works/W4294876381.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W27109896","https://openalex.org/W99566512","https://openalex.org/W192097321","https://openalex.org/W1522202779","https://openalex.org/W1546313639","https://openalex.org/W1632066424","https://openalex.org/W1655475441","https://openalex.org/W1823070989","https://openalex.org/W1884989346","https://openalex.org/W1885159080","https://openalex.org/W1952162104","https://openalex.org/W1966081460","https://openalex.org/W1970879550","https://openalex.org/W1986398847","https://openalex.org/W1989938457","https://openalex.org/W2017377855","https://openalex.org/W2019821443","https://openalex.org/W2053189771","https://openalex.org/W2070223281","https://openalex.org/W2098382610","https://openalex.org/W2101822116","https://openalex.org/W2105899518","https://openalex.org/W2129256050","https://openalex.org/W2133057300","https://openalex.org/W2141056356","https://openalex.org/W2160642345","https://openalex.org/W2213753973","https://openalex.org/W2231297807","https://openalex.org/W2267437282","https://openalex.org/W2283465032","https://openalex.org/W2291356055","https://openalex.org/W2462548332","https://openalex.org/W2564330218","https://openalex.org/W2726056738","https://openalex.org/W2808435117","https://openalex.org/W2877677827","https://openalex.org/W2898873842","https://openalex.org/W2913991483","https://openalex.org/W2948946638","https://openalex.org/W2960352216","https://openalex.org/W2962687375","https://openalex.org/W2962961217","https://openalex.org/W2963640987","https://openalex.org/W2969682603","https://openalex.org/W2976102139","https://openalex.org/W2976883600","https://openalex.org/W2998121386","https://openalex.org/W3006553257","https://openalex.org/W3016842374","https://openalex.org/W3036623703","https://openalex.org/W3042439099","https://openalex.org/W3083173740","https://openalex.org/W3084163365","https://openalex.org/W3094271017","https://openalex.org/W3099344189","https://openalex.org/W3116915069","https://openalex.org/W3129691463","https://openalex.org/W3137955168","https://openalex.org/W3148665798","https://openalex.org/W3157300370","https://openalex.org/W3158742555","https://openalex.org/W3166879119","https://openalex.org/W3171223926","https://openalex.org/W3173417360","https://openalex.org/W3175904812","https://openalex.org/W3183413039","https://openalex.org/W3189020374","https://openalex.org/W3191763305","https://openalex.org/W3214981176","https://openalex.org/W4232502322","https://openalex.org/W4240139199","https://openalex.org/W4283809024","https://openalex.org/W6636962748"],"related_works":["https://openalex.org/W2000297171","https://openalex.org/W4297058887","https://openalex.org/W2777256819","https://openalex.org/W2474680198","https://openalex.org/W1596350596","https://openalex.org/W2022485595","https://openalex.org/W3112462120","https://openalex.org/W2049828308","https://openalex.org/W2597689725","https://openalex.org/W4389261227"],"abstract_inverted_index":{"Generating":[0],"diverse":[1,94],"populations":[2,95],"of":[3,24,35,61,65,96],"high-quality":[4],"solutions":[5],"has":[6],"gained":[7],"interest":[8],"as":[9,122,165],"a":[10,66,166],"promising":[11],"extension":[12],"to":[13,21,92,102,127],"the":[14,36,41,52,62,107,110,128,155],"traditional":[15],"optimization":[16,32],"tasks.":[17],"This":[18],"work":[19],"contributes":[20,125],"this":[22],"line":[23],"research":[25],"with":[26,71],"an":[27,59,76],"investigation":[28],"on":[29,136],"evolutionary":[30,69],"diversity":[31,78],"for":[33,87,168],"three":[34],"most":[37],"well-studied":[38],"permutation":[39],"problems:":[40],"Traveling":[42],"Salesperson":[43],"Problem":[44,55],"(TSP),":[45],"both":[46],"symmetric":[47],"and":[48,51,138,143,146],"asymmetric":[49],"variants,":[50],"Quadratic":[53],"Assignment":[54],"(QAP).":[56],"It":[57],"includes":[58],"analysis":[60],"worst-case":[63,120],"performance":[64],"simple":[67],"mutation-only":[68],"algorithm":[70],"different":[72],"mutation":[73,85,123,159],"operators,":[74],"using":[75],"established":[77],"measure.":[79],"Theoretical":[80],"results":[81,111,162],"show":[82],"that":[83,115],"many":[84],"operators":[86],"these":[88],"problems":[89],"guarantee":[90],"convergence":[91],"maximally":[93],"sufficiently":[97],"small":[98],"size":[99],"within":[100],"cubic":[101],"quartic":[103],"expected":[104,129],"runtime.":[105,130],"On":[106],"other":[108],"hand,":[109],"regarding":[112,158],"QAP":[113],"suggest":[114],"strong":[116],"mutations":[117],"give":[118],"poor":[119],"performance,":[121],"strength":[124],"exponentially":[126],"Additionally,":[131],"experiments":[132],"are":[133],"carried":[134],"out":[135],"QAPLIB":[137],"synthetic":[139],"instances":[140],"in":[141],"unconstrained":[142],"constrained":[144],"settings,":[145],"reveal":[147],"much":[148],"more":[149],"optimistic":[150],"practical":[151],"performances":[152],"while":[153],"corroborating":[154],"theoretical":[156],"findings":[157],"strength.":[160],"These":[161],"should":[163],"serve":[164],"baseline":[167],"future":[169],"studies.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":6}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2022-09-07T00:00:00"}