{"id":"https://openalex.org/W2132232739","doi":"https://doi.org/10.1109/nabic.2010.5716287","title":"Average rank domination relation for NSGAII and SMPSO algorithms for many-objective optimization","display_name":"Average rank domination relation for NSGAII and SMPSO algorithms for many-objective optimization","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2132232739","doi":"https://doi.org/10.1109/nabic.2010.5716287","mag":"2132232739"},"language":"en","primary_location":{"id":"doi:10.1109/nabic.2010.5716287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2010.5716287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC)","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/A5082456856","display_name":"Sofiene Kachroudi","orcid":null},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]},{"id":"https://openalex.org/I4210097138","display_name":"CEA Paris-Saclay - Etablissement de Fontenay-aux-roses","ror":"https://ror.org/010j2gw05","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210097138","https://openalex.org/I4210128565"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S Kachroudi","raw_affiliation_strings":["Interactive Robotics Laboratory, CEA/List, Fontenay-aux-Roses, France","Interactive Robotics Laboratory, CEA, LIST, Fontenay aux Roses, F- 92265, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interactive Robotics Laboratory, CEA/List, Fontenay-aux-Roses, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210085861"]},{"raw_affiliation_string":"Interactive Robotics Laboratory, CEA, LIST, Fontenay aux Roses, F- 92265, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210085861","https://openalex.org/I4210097138"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109874922","display_name":"Mathieu Grossard","orcid":null},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]},{"id":"https://openalex.org/I4210097138","display_name":"CEA Paris-Saclay - Etablissement de Fontenay-aux-roses","ror":"https://ror.org/010j2gw05","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210097138","https://openalex.org/I4210128565"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M Grossard","raw_affiliation_strings":["Interactive Robotics Laboratory, CEA/List, Fontenay-aux-Roses, France","Interactive Robotics Laboratory, CEA, LIST, Fontenay aux Roses, F- 92265, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interactive Robotics Laboratory, CEA/List, Fontenay-aux-Roses, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210085861"]},{"raw_affiliation_string":"Interactive Robotics Laboratory, CEA, LIST, Fontenay aux Roses, F- 92265, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210085861","https://openalex.org/I4210097138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2523,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78713898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"5361","issue":null,"first_page":"19","last_page":"24"},"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":0.9980999827384949,"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":0.9855999946594238,"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/relation","display_name":"Relation (database)","score":0.7760295867919922},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6673920154571533},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6670803427696228},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.6092830896377563},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5542631149291992},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5425316691398621},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.525569498538971},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5186356902122498},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4344043731689453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36694058775901794},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19311362504959106},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0939587652683258}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7760295867919922},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6673920154571533},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6670803427696228},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.6092830896377563},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5542631149291992},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5425316691398621},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.525569498538971},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5186356902122498},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4344043731689453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36694058775901794},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19311362504959106},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0939587652683258},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nabic.2010.5716287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2010.5716287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1545005363","https://openalex.org/W1583993532","https://openalex.org/W1846834309","https://openalex.org/W1976743943","https://openalex.org/W2025525377","https://openalex.org/W2104017154","https://openalex.org/W2110843745","https://openalex.org/W2123808725","https://openalex.org/W2126105956","https://openalex.org/W2152994530","https://openalex.org/W2976029076","https://openalex.org/W6632595668","https://openalex.org/W6634933633"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W4241467429","https://openalex.org/W2001591765","https://openalex.org/W2073147994","https://openalex.org/W1588199609","https://openalex.org/W2384474142","https://openalex.org/W1550055091","https://openalex.org/W2744462909","https://openalex.org/W3083133203","https://openalex.org/W1971520370"],"abstract_inverted_index":{"The":[0,18,75,98],"paper":[1,46],"introduces":[2],"the":[3,10,23,26,34,38,45,49,58,69,81,91,110],"average":[4,35],"rank":[5,36],"dominance":[6],"relation":[7,13,19,52,56],"that":[8,103],"substitutes":[9],"Pareto":[11,50],"domination":[12,51,55],"for":[14,117],"many":[15],"objective":[16,30],"optimization.":[17,74],"is":[20],"based":[21,67],"on":[22,40,68,80],"performances":[24],"of":[25,37,85,109],"solutions":[27,39,111],"in":[28,57],"each":[29,41],"and":[31,64,71,88,107,112],"calculated":[32],"as":[33],"objective.":[42],"In":[43],"addition,":[44],"studies":[47],"substituting":[48],"by":[53],"this":[54],"well":[59],"known":[60],"multi-objective":[61],"algorithms":[62,77,93],"NSGAII":[63],"SMPSO":[65],"respectively":[66],"genetic":[70],"particle":[72],"swarm":[73],"new":[76,95],"are":[78,100],"tested":[79],"first":[82],"four":[83],"problems":[84],"DTLZ":[86],"family":[87],"compared":[89],"to":[90],"original":[92],"via":[94],"performance":[96],"indicators.":[97],"indicators":[99],"constructed":[101],"so":[102],"they":[104],"measure":[105],"convergence":[106],"spread":[108],"can":[113],"be":[114],"easily":[115],"computed":[116],"high":[118],"objectives":[119],"number":[120],"(\u226b":[121],"3).":[122]},"counts_by_year":[{"year":2019,"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":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}