{"id":"https://openalex.org/W2522068109","doi":"https://doi.org/10.1142/s0218001417590066","title":"Population Decomposition-Based Greedy Approach Algorithm for the Multi-Objective Knapsack Problems","display_name":"Population Decomposition-Based Greedy Approach Algorithm for the Multi-Objective Knapsack Problems","publication_year":2016,"publication_date":"2016-09-23","ids":{"openalex":"https://openalex.org/W2522068109","doi":"https://doi.org/10.1142/s0218001417590066","mag":"2522068109"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001417590066","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001417590066","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5081085699","display_name":"Jiawei Yuan","orcid":"https://orcid.org/0000-0001-5440-3794"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiawei Yuan","raw_affiliation_strings":["Guangdong University of Technology, Guangzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100610638","display_name":"Hai\u2010Lin Liu","orcid":"https://orcid.org/0000-0003-2276-1938"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai-Lin Liu","raw_affiliation_strings":["Guangdong University of Technology, Guangzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053119185","display_name":"Chaoda Peng","orcid":"https://orcid.org/0000-0002-5870-8410"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoda Peng","raw_affiliation_strings":["Guangdong University of Technology, Guangzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081085699"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.6969,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.75272559,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"31","issue":"04","first_page":"1759006","last_page":"1759006"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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":1.0,"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":0.9991000294685364,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/knapsack-problem","display_name":"Knapsack problem","score":0.9215719699859619},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.760469913482666},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.6253485083580017},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6153846979141235},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5711575150489807},{"id":"https://openalex.org/keywords/continuous-knapsack-problem","display_name":"Continuous knapsack problem","score":0.5264576077461243},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5100813508033752},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5052862763404846},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.49820661544799805},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48485004901885986},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4827548861503601},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46002334356307983},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.446328341960907},{"id":"https://openalex.org/keywords/weight","display_name":"Weight","score":0.4452440142631531},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35878098011016846}],"concepts":[{"id":"https://openalex.org/C113138325","wikidata":"https://www.wikidata.org/wiki/Q864457","display_name":"Knapsack problem","level":2,"score":0.9215719699859619},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.760469913482666},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.6253485083580017},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6153846979141235},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5711575150489807},{"id":"https://openalex.org/C94569963","wikidata":"https://www.wikidata.org/wiki/Q5165487","display_name":"Continuous knapsack problem","level":3,"score":0.5264576077461243},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5100813508033752},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5052862763404846},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.49820661544799805},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48485004901885986},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4827548861503601},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46002334356307983},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.446328341960907},{"id":"https://openalex.org/C183877218","wikidata":"https://www.wikidata.org/wiki/Q7979858","display_name":"Weight","level":3,"score":0.4452440142631531},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35878098011016846},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C51568863","wikidata":"https://www.wikidata.org/wiki/Q664495","display_name":"Lie algebra","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001417590066","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001417590066","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322835","display_name":"Ministry of Economic Affairs","ror":"https://ror.org/042ge0913"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1483738967","https://openalex.org/W1486643454","https://openalex.org/W1502785848","https://openalex.org/W1528711985","https://openalex.org/W1970577481","https://openalex.org/W1993530334","https://openalex.org/W2020127609","https://openalex.org/W2023685757","https://openalex.org/W2024626675","https://openalex.org/W2027353299","https://openalex.org/W2028043710","https://openalex.org/W2058142975","https://openalex.org/W2065148320","https://openalex.org/W2073478661","https://openalex.org/W2086081933","https://openalex.org/W2091365600","https://openalex.org/W2106334424","https://openalex.org/W2109865546","https://openalex.org/W2121662787","https://openalex.org/W2126105956","https://openalex.org/W2132243311","https://openalex.org/W2143381319","https://openalex.org/W2155345556","https://openalex.org/W2222259358"],"related_works":["https://openalex.org/W246960280","https://openalex.org/W2393014972","https://openalex.org/W2357796514","https://openalex.org/W2357595179","https://openalex.org/W2169800510","https://openalex.org/W2351136238","https://openalex.org/W3171554204","https://openalex.org/W3199776955","https://openalex.org/W3112089036","https://openalex.org/W2167807475"],"abstract_inverted_index":{"Despite":[0],"the":[1,4,81,84,116,119,131,134,151],"effectiveness":[2],"of":[3,54,83,118,126,146],"decomposition-based":[5],"multi-objective":[6,13,22],"evolutional":[7],"algorithm":[8,86],"(MOEA/D-M2M)":[9],"in":[10,19,61,144],"solving":[11],"continuous":[12],"optimization":[14,56],"problems":[15,24],"(MOPs),":[16],"its":[17,68],"performance":[18,82],"addressing":[20],"0/1":[21],"knapsack":[23],"(MOKPs)":[25],"has":[26,67],"not":[27],"been":[28],"fully":[29],"explored.":[30],"In":[31],"this":[32],"paper,":[33],"we":[34],"use":[35],"MOEA/D-M2M":[36,132],"with":[37,133],"an":[38,49,73],"improved":[39,74,135],"greedy":[40,75,136],"repair":[41,102],"strategy":[42,76,137],"to":[43,79,101,109,140,150],"solve":[44],"MOKPs.":[45,88],"It":[46],"first":[47],"decomposes":[48],"MOKP":[50],"into":[51],"a":[52,62,90,96,111,124],"number":[53],"simple":[55],"subproblems":[57],"and":[58,71,142],"solves":[59],"them":[60],"collaborative":[63],"way.":[64],"Each":[65],"subproblem":[66],"own":[69],"subpopulation,":[70],"then":[72],"is":[77,99,138],"introduced":[78],"improve":[80,106],"proposed":[85],"on":[87,123],"Therein,":[89],"weight":[91],"vector":[92],"chosen":[93],"randomly":[94],"from":[95],"corresponding":[97],"subpopulation":[98],"utilized":[100],"infeasible":[103],"individuals":[104,108],"or":[105],"feasible":[107],"have":[110],"better":[112,148],"fitness,":[113],"which":[114],"improves":[115],"convergence":[117],"population.":[120],"Experimental":[121],"studies":[122],"set":[125],"test":[127],"instances":[128],"indicate":[129],"that":[130],"superior":[139],"MOGLS":[141],"MOEA/D":[143],"terms":[145],"finding":[147],"approximations":[149],"Pareto":[152],"front.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}