{"id":"https://openalex.org/W3157300370","doi":"https://doi.org/10.1145/3449639.3459364","title":"Breeding diverse packings for the knapsack problem by means of diversity-tailored evolutionary algorithms","display_name":"Breeding diverse packings for the knapsack problem by means of diversity-tailored evolutionary algorithms","publication_year":2021,"publication_date":"2021-06-21","ids":{"openalex":"https://openalex.org/W3157300370","doi":"https://doi.org/10.1145/3449639.3459364","mag":"3157300370"},"language":"en","primary_location":{"id":"doi:10.1145/3449639.3459364","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3449639.3459364","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2104.13133","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083504710","display_name":"Jakob Bossek","orcid":"https://orcid.org/0000-0002-4121-4668"},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"education","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jakob Bossek","raw_affiliation_strings":["University of M\u00fcnster, M\u00fcnster, Germany"],"affiliations":[{"raw_affiliation_string":"University of M\u00fcnster, M\u00fcnster, Germany","institution_ids":["https://openalex.org/I22465464"]}]},{"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":["The University of Adelaide, Adelaide, Australia"],"affiliations":[{"raw_affiliation_string":"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":["The University of Adelaide, Adelaide, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Adelaide, Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083504710"],"corresponding_institution_ids":["https://openalex.org/I22465464"],"apc_list":null,"apc_paid":null,"fwci":6.6356,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.9796748,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"556","last_page":"564"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12176","display_name":"Optimization and Packing Problems","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T12176","display_name":"Optimization and Packing Problems","score":0.9997000098228455,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9966999888420105,"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":0.9876999855041504,"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/knapsack-problem","display_name":"Knapsack problem","score":0.9648544192314148},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.8304503560066223},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6022829413414001},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5973278284072876},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5755712389945984},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5566636323928833},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5394576191902161},{"id":"https://openalex.org/keywords/decision-maker","display_name":"Decision maker","score":0.5158676505088806},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.5001351833343506},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.4483621120452881},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43976590037345886},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3294789493083954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15184617042541504},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.12072035670280457},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09270676970481873},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06868639588356018}],"concepts":[{"id":"https://openalex.org/C113138325","wikidata":"https://www.wikidata.org/wiki/Q864457","display_name":"Knapsack problem","level":2,"score":0.9648544192314148},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.8304503560066223},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6022829413414001},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5973278284072876},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5755712389945984},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5566636323928833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5394576191902161},{"id":"https://openalex.org/C2986080485","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision maker","level":2,"score":0.5158676505088806},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.5001351833343506},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.4483621120452881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43976590037345886},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3294789493083954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15184617042541504},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.12072035670280457},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09270676970481873},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06868639588356018},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3449639.3459364","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3449639.3459364","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2104.13133","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.13133","pdf_url":"https://arxiv.org/pdf/2104.13133","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"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/131347","is_oa":false,"landing_page_url":"http://hdl.handle.net/2440/131347","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://dl.acm.org/doi/proceedings/10.1145/3449726","raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2104.13133","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.13133","pdf_url":"https://arxiv.org/pdf/2104.13133","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":[{"score":0.6100000143051147,"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":22,"referenced_works":["https://openalex.org/W758372786","https://openalex.org/W1507039213","https://openalex.org/W1970879550","https://openalex.org/W2027557853","https://openalex.org/W2036856697","https://openalex.org/W2077220042","https://openalex.org/W2099746672","https://openalex.org/W2127172809","https://openalex.org/W2155921792","https://openalex.org/W2611804663","https://openalex.org/W2726056738","https://openalex.org/W2883624781","https://openalex.org/W2888504352","https://openalex.org/W2962961217","https://openalex.org/W2963640987","https://openalex.org/W3016842374","https://openalex.org/W3036623703","https://openalex.org/W3173417360","https://openalex.org/W4236127247","https://openalex.org/W4246219036","https://openalex.org/W4300550233","https://openalex.org/W4372046852"],"related_works":["https://openalex.org/W241127407","https://openalex.org/W1985939653","https://openalex.org/W3103982436","https://openalex.org/W1606499289","https://openalex.org/W4280569079","https://openalex.org/W2888641532","https://openalex.org/W2741252017","https://openalex.org/W2133099979","https://openalex.org/W2911578165","https://openalex.org/W2626282817"],"abstract_inverted_index":{"In":[0,26],"practise,":[1],"it":[2],"is":[3,41,63,169],"often":[4],"desirable":[5],"to":[6,42,78],"provide":[7],"the":[8,35,64,103,107,133,145,156,164],"decision-maker":[9],"with":[10,76,93],"a":[11,23,44,51,88,99],"rich":[12],"set":[13],"of":[14,17,21,46,53,66,109,127,166],"diverse":[15],"solutions":[16,47,96],"decent":[18],"quality":[19],"instead":[20],"just":[22],"single":[24],"solution.":[25,69],"this":[27,84],"paper":[28],"we":[29,86],"study":[30,137],"evolutionary":[31],"diversity":[32,81],"optimization":[33],"for":[34,102],"knapsack":[36],"problem":[37],"(KP).":[38],"Our":[39],"goal":[40],"evolve":[43],"population":[45],"that":[48,144],"all":[49],"have":[50],"profit":[52],"at":[54],"least":[55],"(1":[56],"-":[57],"\u03b5)":[58],"\u00b7":[59],"OPT,":[60],"where":[61],"OPT":[62],"value":[65],"an":[67,79],"optimal":[68],"Furthermore,":[70],"they":[71],"should":[72],"differ":[73],"in":[74,149,155],"structure":[75],"respect":[77],"entropy-based":[80],"measure.":[82],"To":[83],"end":[85],"propose":[87],"simple":[89],"(\u03bc":[90],"+":[91],"1)-EA":[92],"initial":[94],"approximate":[95],"calculated":[97],"by":[98],"well-known":[100],"FPTAS":[101],"KP.":[104],"We":[105],"investigate":[106],"effect":[108],"different":[110,139],"standard":[111],"mutation":[112,117,147],"operators":[113,148],"and":[114,118,141],"introduce":[115],"biased":[116],"crossover":[119],"which":[120],"puts":[121],"strong":[122,161],"probability":[123],"on":[124,138],"flipping":[125],"bits":[126],"low":[128],"and/or":[129],"high":[130],"frequency":[131],"within":[132],"population.":[134],"An":[135],"experimental":[136],"instances":[140],"settings":[142],"shows":[143],"proposed":[146],"most":[150],"cases":[151],"perform":[152],"slightly":[153],"inferior":[154],"long":[157],"term,":[158],"but":[159],"show":[160],"benefits":[162],"if":[163],"number":[165],"function":[167],"evaluations":[168],"severely":[170],"limited.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":8}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
