{"id":"https://openalex.org/W2501369473","doi":"https://doi.org/10.1145/2908961.2908969","title":"A Novel Co-evolutionary Approach for Constrained Genetic Algorithms","display_name":"A Novel Co-evolutionary Approach for Constrained Genetic Algorithms","publication_year":2016,"publication_date":"2016-07-20","ids":{"openalex":"https://openalex.org/W2501369473","doi":"https://doi.org/10.1145/2908961.2908969","mag":"2501369473"},"language":"en","primary_location":{"id":"doi:10.1145/2908961.2908969","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908961.2908969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://orbilu.uni.lu/handle/10993/28196","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075246253","display_name":"Emmanuel Kieffer","orcid":"https://orcid.org/0000-0002-5530-8577"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Emmanuel Kieffer","raw_affiliation_strings":["University of Luxembourg, Luxembourg, Luxembourg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Luxembourg, Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028181493","display_name":"Mateusz Guzek","orcid":"https://orcid.org/0000-0002-0488-6115"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Mateusz Guzek","raw_affiliation_strings":["University of Luxembourg, Luxembourg, Luxembourg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Luxembourg, Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107678280","display_name":"Gr\u00e9goire Danoy","orcid":"https://orcid.org/0000-0001-9419-4210"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Gr\u00e9goire Danoy","raw_affiliation_strings":["University of Luxembourg, Luxembourg, Luxembourg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Luxembourg, Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058311932","display_name":"Pascal Bouvry","orcid":"https://orcid.org/0000-0001-9338-2834"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Pascal Bouvry","raw_affiliation_strings":["University of Luxembourg, Luxembourg, Luxembourg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Luxembourg, Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039450050","display_name":"Anass Nagih","orcid":"https://orcid.org/0000-0002-3604-3390"},"institutions":[{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Anass Nagih","raw_affiliation_strings":["University of Lorraine, Metz, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Lorraine, Metz, France","institution_ids":["https://openalex.org/I90183372"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"47","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9916999936103821,"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":0.9916999936103821,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.940500020980835,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9017999768257141,"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/decomposition","display_name":"Decomposition","score":0.6252108812332153},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6158910989761353},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5808306336402893},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5799297094345093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.577752947807312},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48310351371765137},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4768610894680023},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4525541365146637},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32452720403671265}],"concepts":[{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6252108812332153},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6158910989761353},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5808306336402893},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5799297094345093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.577752947807312},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48310351371765137},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4768610894680023},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4525541365146637},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32452720403671265},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2908961.2908969","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908961.2908969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},{"id":"pmh:oai:orbilu.uni.lu:10993/28196","is_oa":true,"landing_page_url":"http://orbilu.uni.lu/handle/10993/28196","pdf_url":null,"source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, 47--48 (2016); Genetic and Evolutionary Computation Conference (GECCO), Denver, United States - Colorado [US-CO], 07-2016","raw_type":"http://purl.org/coar/resource_type/c_5794"}],"best_oa_location":{"id":"pmh:oai:orbilu.uni.lu:10993/28196","is_oa":true,"landing_page_url":"http://orbilu.uni.lu/handle/10993/28196","pdf_url":null,"source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, 47--48 (2016); Genetic and Evolutionary Computation Conference (GECCO), Denver, United States - Colorado [US-CO], 07-2016","raw_type":"http://purl.org/coar/resource_type/c_5794"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1481747975","https://openalex.org/W1539702957","https://openalex.org/W1788352746","https://openalex.org/W1997231674","https://openalex.org/W6628612210"],"related_works":["https://openalex.org/W2887328214","https://openalex.org/W4285140130","https://openalex.org/W3104770499","https://openalex.org/W4285677055","https://openalex.org/W1992731528","https://openalex.org/W2007843488","https://openalex.org/W1994436307","https://openalex.org/W1987021796","https://openalex.org/W2795565301","https://openalex.org/W2785349417"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,26,77,84],"novel":[4],"type":[5],"of":[6,29],"co-evolutionary":[7],"algorithm":[8],"based":[9],"on":[10,69],"constraints":[11],"decomposition":[12],"(CHCGA)":[13],"is":[14],"proposed.":[15],"Its":[16],"principle":[17],"consists":[18],"in":[19],"dividing":[20],"an":[21],"initial":[22],"constrained":[23,33],"problem":[24,74],"into":[25],"sufficient":[27],"number":[28],"sub-problems":[30,46],"with":[31,57],"weak":[32],"domains":[34],"where":[35],"feasible":[36,65],"solutions":[37],"can":[38],"be":[39],"easily":[40],"determined.":[41],"One":[42],"sub-population":[43],"for":[44],"each":[45,58],"are":[47],"then":[48],"evolved":[49],"independently":[50],"and":[51],"merged":[52],"when":[53],"they":[54,61],"become":[55],"compatible":[56],"other,":[59],"i.e.":[60],"contain":[62],"enough":[63],"mutually":[64],"solutions.":[66],"Experimental":[67],"results":[68],"the":[70],"Cloud":[71],"Brokering":[72],"optimization":[73],"have":[75],"demonstrated":[76],"strong":[78],"solution":[79],"quality":[80],"gain":[81],"compared":[82],"to":[83],"standard":[85],"genetic":[86],"algorithm.":[87]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}