{"id":"https://openalex.org/W3173471038","doi":"https://doi.org/10.1145/3449639.3459343","title":"A hybrid ant colony optimization algorithm for the knapsack problem with a single continuous variable","display_name":"A hybrid ant colony optimization algorithm for the knapsack problem with a single continuous variable","publication_year":2021,"publication_date":"2021-06-21","ids":{"openalex":"https://openalex.org/W3173471038","doi":"https://doi.org/10.1145/3449639.3459343","mag":"3173471038"},"language":"en","primary_location":{"id":"doi:10.1145/3449639.3459343","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3449639.3459343","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":["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/A5101605221","display_name":"Xinhua Yang","orcid":"https://orcid.org/0000-0001-8469-342X"},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinhua Yang","raw_affiliation_strings":["Fujian Agriculture and Forestry University and Fujian Province University, Fuzhou, Fujian Province, China"],"affiliations":[{"raw_affiliation_string":"Fujian Agriculture and Forestry University and Fujian Province University, Fuzhou, Fujian Province, China","institution_ids":["https://openalex.org/I61057504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060599368","display_name":"Yufan Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufan Zhou","raw_affiliation_strings":["Fujian Agriculture and Forestry University and Fujian Province University, Fuzhou, Fujian Province, China"],"affiliations":[{"raw_affiliation_string":"Fujian Agriculture and Forestry University and Fujian Province University, Fuzhou, Fujian Province, China","institution_ids":["https://openalex.org/I61057504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025334976","display_name":"Ailing Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ailing Shen","raw_affiliation_strings":["Fujian Agriculture and Forestry University and Fujian Province University, Fuzhou, Fujian Province, China"],"affiliations":[{"raw_affiliation_string":"Fujian Agriculture and Forestry University and Fujian Province University, Fuzhou, Fujian Province, China","institution_ids":["https://openalex.org/I61057504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025044525","display_name":"Juan Lin","orcid":"https://orcid.org/0000-0002-1121-6697"},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Lin","raw_affiliation_strings":["Fujian Agriculture and Forestry University and Fujian Province University, Fuzhou, Fujian Province, China"],"affiliations":[{"raw_affiliation_string":"Fujian Agriculture and Forestry University and Fujian Province University, Fuzhou, Fujian Province, China","institution_ids":["https://openalex.org/I61057504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031490906","display_name":"Yiwen Zhong","orcid":"https://orcid.org/0000-0002-9132-913X"},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwen Zhong","raw_affiliation_strings":["Fujian Agriculture and Forestry University and Fujian Province University, Fuzhou, Fujian Province, China"],"affiliations":[{"raw_affiliation_string":"Fujian Agriculture and Forestry University and Fujian Province University, Fuzhou, Fujian Province, China","institution_ids":["https://openalex.org/I61057504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101605221"],"corresponding_institution_ids":["https://openalex.org/I61057504"],"apc_list":null,"apc_paid":null,"fwci":2.6546,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90076726,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"57","last_page":"65"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12176","display_name":"Optimization and Packing Problems","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9988999962806702,"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":0.9979000091552734,"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":0.9592624306678772},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.7571547031402588},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6641781330108643},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.6370418071746826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5055675506591797},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5030857920646667},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49812865257263184},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4480859339237213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3223249316215515}],"concepts":[{"id":"https://openalex.org/C113138325","wikidata":"https://www.wikidata.org/wiki/Q864457","display_name":"Knapsack problem","level":2,"score":0.9592624306678772},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.7571547031402588},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6641781330108643},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.6370418071746826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5055675506591797},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5030857920646667},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49812865257263184},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4480859339237213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3223249316215515},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3449639.3459343","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3449639.3459343","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1982976253","https://openalex.org/W1988739252","https://openalex.org/W1990585107","https://openalex.org/W2008422923","https://openalex.org/W2017253344","https://openalex.org/W2041673501","https://openalex.org/W2396466484","https://openalex.org/W2541552975","https://openalex.org/W2778905010","https://openalex.org/W2892397808","https://openalex.org/W2921402754","https://openalex.org/W2945426094","https://openalex.org/W3010792765","https://openalex.org/W3014417101","https://openalex.org/W3088853939"],"related_works":["https://openalex.org/W1992758684","https://openalex.org/W1611875833","https://openalex.org/W1607218372","https://openalex.org/W1547053391","https://openalex.org/W1521781013","https://openalex.org/W2357796514","https://openalex.org/W1975009952","https://openalex.org/W2462483068","https://openalex.org/W1588949866","https://openalex.org/W2393014972"],"abstract_inverted_index":{"Knapsack":[0],"problem":[1],"with":[2],"a":[3,9,55,70,124,155],"single":[4],"continuous":[5,99],"variable":[6],"(KPC)":[7],"is":[8,26,74,91,107,160,169,184],"natural":[10],"extension":[11],"of":[12,23,81,87,98,103,139,191],"the":[13,19,21,24,44,64,67,78,84,95,104,115,133,137,164,181,193,197],"standard":[14],"0-1":[15],"knapsack":[16,25],"problem.":[17],"In":[18,66,114],"KPC,":[20,45],"capacity":[22],"not":[27,49],"fixed,":[28],"so":[29],"it":[30],"becomes":[31],"more":[32],"difficult":[33],"to":[34,42,62,76,93,130,151,162],"solve.":[35],"Although":[36],"several":[37],"metaheuristics":[38],"have":[39],"been":[40],"proposed":[41],"solve":[43,63],"their":[46],"performances":[47],"are":[48,128,149],"stable":[50],"enough.":[51],"This":[52],"paper":[53],"proposes":[54],"hybrid":[56],"ant":[57,148],"colony":[58],"optimization":[59,158],"(HACO)":[60],"algorithm":[61,73,90,134,168,183],"KPC.":[65],"HACO":[68,167,182],"algorithm,":[69,118],"simplified":[71,116],"ACO":[72,112,117],"designed":[75,129],"search":[77,94],"optimal":[79,96],"subset":[80],"items,":[82],"and":[83,123,135,196],"mutation":[85,105],"operator":[86,106],"differential":[88],"evolution":[89],"used":[92,150],"value":[97],"variable.":[100],"The":[101,166,176],"parameter":[102],"adaptively":[108],"configured":[109],"via":[110],"an":[111,119],"algorithm.":[113],"independent":[120],"selection":[121,126],"strategy":[122,127,159],"pheromone-based":[125],"speed":[131],"up":[132],"simplify":[136],"tuning":[138],"parameters":[140],"respectively.":[141],"Personal":[142],"best":[143,194],"solutions":[144],"constructed":[145],"by":[146],"each":[147],"deposit":[152],"pheromone.":[153],"Furthermore,":[154],"value-based":[156],"greedy":[157],"introduced":[161],"enhance":[163],"solutions.":[165],"experimentally":[170],"analyzed":[171],"on":[172],"40":[173],"KPC":[174],"instances.":[175],"experimental":[177],"results":[178],"show":[179],"that":[180],"better":[185],"than":[186],"other":[187],"competitors":[188],"in":[189],"terms":[190],"obtaining":[192],"solution":[195],"mean":[198],"solution.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
