{"id":"https://openalex.org/W2035869301","doi":"https://doi.org/10.1145/2001576.2001645","title":"A hybrid evolutionary metaheuristics (HEMH) applied on 0/1 multiobjective knapsack problems","display_name":"A hybrid evolutionary metaheuristics (HEMH) applied on 0/1 multiobjective knapsack problems","publication_year":2011,"publication_date":"2011-07-12","ids":{"openalex":"https://openalex.org/W2035869301","doi":"https://doi.org/10.1145/2001576.2001645","mag":"2035869301"},"language":"en","primary_location":{"id":"doi:10.1145/2001576.2001645","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2001576.2001645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},"type":"conference-paper","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/A5011866547","display_name":"Ahmed Kafafy","orcid":null},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Lyon 1 Universit\u00e9","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ahmed Kafafy","raw_affiliation_strings":["Universit\u00e9 Claude Bernard Lyon 1- Laboratoire ERIC, Lyon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Claude Bernard Lyon 1- Laboratoire ERIC, Lyon, France","institution_ids":["https://openalex.org/I100532134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056721942","display_name":"Ahmed Bounekkar","orcid":null},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Lyon 1 Universit\u00e9","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ahmed Bounekkar","raw_affiliation_strings":["Universit\u00e9 Claude Bernard Lyon 1- Laboratoire ERIC, Lyon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Claude Bernard Lyon 1- Laboratoire ERIC, Lyon, France","institution_ids":["https://openalex.org/I100532134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088568974","display_name":"St\u00e9phane Bonnevay","orcid":null},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Lyon 1 Universit\u00e9","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"St\u00e9phane Bonnevay","raw_affiliation_strings":["Universit\u00e9 Claude Bernard Lyon 1- Laboratoire ERIC, Lyon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Claude Bernard Lyon 1- Laboratoire ERIC, Lyon, France","institution_ids":["https://openalex.org/I100532134"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I100532134"],"apc_list":null,"apc_paid":null,"fwci":2.0113,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.85840856,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"497","last_page":"504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/knapsack-problem","display_name":"Knapsack problem","score":0.9567295908927917},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.8236877918243408},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5857431888580322},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5748418569564819},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4702564477920532},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.43539178371429443},{"id":"https://openalex.org/keywords/continuous-knapsack-problem","display_name":"Continuous knapsack problem","score":0.4287128448486328},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30134719610214233}],"concepts":[{"id":"https://openalex.org/C113138325","wikidata":"https://www.wikidata.org/wiki/Q864457","display_name":"Knapsack problem","level":2,"score":0.9567295908927917},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.8236877918243408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5857431888580322},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5748418569564819},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4702564477920532},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.43539178371429443},{"id":"https://openalex.org/C94569963","wikidata":"https://www.wikidata.org/wiki/Q5165487","display_name":"Continuous knapsack problem","level":3,"score":0.4287128448486328},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30134719610214233}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2001576.2001645","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2001576.2001645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W69831977","https://openalex.org/W125532598","https://openalex.org/W1528711985","https://openalex.org/W1969355111","https://openalex.org/W1981816113","https://openalex.org/W1998208600","https://openalex.org/W2004617458","https://openalex.org/W2008499862","https://openalex.org/W2039568841","https://openalex.org/W2062480190","https://openalex.org/W2089088038","https://openalex.org/W2099861483","https://openalex.org/W2106334424","https://openalex.org/W2109293843","https://openalex.org/W2117762792","https://openalex.org/W2121020497","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2142844925","https://openalex.org/W2143381319","https://openalex.org/W2148948822","https://openalex.org/W2153446897","https://openalex.org/W2155345556","https://openalex.org/W2157233960","https://openalex.org/W4285719527","https://openalex.org/W4292864963","https://openalex.org/W6682763932"],"related_works":["https://openalex.org/W246960280","https://openalex.org/W2087209118","https://openalex.org/W2168163332","https://openalex.org/W179363847","https://openalex.org/W2381035939","https://openalex.org/W2005493932","https://openalex.org/W2378557713","https://openalex.org/W2141701778","https://openalex.org/W2133099979","https://openalex.org/W3103982436"],"abstract_inverted_index":{"Handling":[0],"Multiobjective":[1],"Optimization":[2],"Problems":[3],"(MOOP)":[4],"using":[5,190],"Hybrid":[6,20],"Metaheuristics":[7,22],"represents":[8],"a":[9,19,152,191,216],"promising":[10,58,106],"and":[11,44,50,131,159,179,211],"interest":[12],"area":[13],"of":[14,42,89,183,186,193],"research.":[15],"In":[16,64,76],"this":[17],"paper,":[18],"Evolutionary":[21],"(HEMH)":[23],"is":[24,71,82,177,208],"presented.":[25],"It":[26,39],"combines":[27],"different":[28],"metaheuristics":[29],"integrated":[30],"with":[31,119,151],"each":[32],"other":[33],"to":[34,55,84,127,132,136],"enhance":[35],"the":[36,47,52,57,61,65,68,77,80,95,99,105,112,129,134,138,143,157,162,167,184,187,199,206],"search":[37,53,62,69,100,121,135,144,168],"capabilities.":[38],"improves":[40],"both":[41],"intensification":[43],"diversification":[45],"toward":[46],"preferred":[48],"solutions":[49,92,110,164],"concentrates":[51],"efforts":[54,101],"investigate":[56],"regions":[59,107,141],"in":[60,142,171,198],"space.":[63,145],"proposed":[66],"HEMH,":[67],"process":[70],"divided":[72],"into":[73],"two":[74,147],"phases.":[75],"first":[78],"one,":[79],"DM-GRASP":[81],"applied":[83,126],"obtain":[85],"an":[86,172],"initial":[87],"set":[88,192],"high":[90],"quality":[91,130],"dispersed":[93],"along":[94],"Pareto":[96],"front.":[97],"Then,":[98],"are":[102,125,149,169],"intensified":[103],"on":[104],"around":[108],"these":[109],"through":[111],"second":[113],"phase.":[114],"The":[115,146,175,201],"greedy":[116],"randomized":[117],"path-relinking":[118],"local":[120],"or":[122],"reproduction":[123],"operators":[124],"improve":[128],"guide":[133],"explore":[137],"non":[139],"discovered":[140],"phases":[148],"combined":[150],"suitable":[153],"evolutionary":[154],"framework":[155],"supporting":[156],"integration":[158],"cooperation.":[160],"Moreover,":[161],"efficient":[163],"explored":[165],"over":[166],"collected":[170],"external":[173],"archive.":[174],"HEMH":[176,207],"verified":[178],"tested":[180],"against":[181],"some":[182],"state":[185],"art":[188],"MOEAs":[189],"MOKSP":[194],"instances":[195],"commonly":[196],"used":[197],"literature.":[200],"experimental":[202],"results":[203],"indicate":[204],"that":[205],"highly":[209],"competitive":[210],"can":[212],"be":[213],"considered":[214],"as":[215],"viable":[217],"alternative.":[218]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}