{"id":"https://openalex.org/W2137635402","doi":"https://doi.org/10.1109/icnc.2011.6022362","title":"Integrating preference based weighted sum into evolutionary multi-objective optimization","display_name":"Integrating preference based weighted sum into evolutionary multi-objective optimization","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2137635402","doi":"https://doi.org/10.1109/icnc.2011.6022362","mag":"2137635402"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2011.6022362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2011.6022362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Seventh International Conference on Natural Computation","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/A5042635911","display_name":"Guang-Hong Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guanghong Liu","raw_affiliation_strings":["Department of Automation, USTC University of Science and Technology of China, Hefei, China","Department of Automation, USTC University of Science and Technology of China, Hefei, China 230027"],"affiliations":[{"raw_affiliation_string":"Department of Automation, USTC University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Department of Automation, USTC University of Science and Technology of China, Hefei, China 230027","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100717611","display_name":"Gang Wu","orcid":"https://orcid.org/0000-0001-9595-527X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Wu","raw_affiliation_strings":["Department of Automation, USTC University of Science and Technology of China, Hefei, China","Department of Automation, USTC University of Science and Technology of China, Hefei, China 230027"],"affiliations":[{"raw_affiliation_string":"Department of Automation, USTC University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Department of Automation, USTC University of Science and Technology of China, Hefei, China 230027","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101639293","display_name":"Tao Zheng","orcid":"https://orcid.org/0000-0002-3619-0884"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zheng","raw_affiliation_strings":["Department of Automation, USTC University of Science and Technology of China, Hefei, China","Department of Automation, USTC University of Science and Technology of China, Hefei, China 230027"],"affiliations":[{"raw_affiliation_string":"Department of Automation, USTC University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Department of Automation, USTC University of Science and Technology of China, Hefei, China 230027","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029820392","display_name":"Qing Ling","orcid":"https://orcid.org/0000-0003-4222-5964"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Ling","raw_affiliation_strings":["Department of Automation, USTC University of Science and Technology of China, Hefei, China","Department of Automation, USTC University of Science and Technology of China, Hefei, China 230027"],"affiliations":[{"raw_affiliation_string":"Department of Automation, USTC University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Department of Automation, USTC University of Science and Technology of China, Hefei, China 230027","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5042635911"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.3138,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.6209248,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1251","last_page":"1255"},"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":0.9976999759674072,"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":0.9951000213623047,"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/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6839940547943115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6471776366233826},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6039309501647949},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5985207557678223},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5672784447669983},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5497909784317017},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5489684343338013},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5419183373451233},{"id":"https://openalex.org/keywords/decision-maker","display_name":"Decision maker","score":0.5170124769210815},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49128907918930054},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4848090708255768},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.4217136800289154},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4187588691711426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38521677255630493},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3693450689315796},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.27110129594802856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24625656008720398},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0857667624950409}],"concepts":[{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6839940547943115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6471776366233826},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6039309501647949},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5985207557678223},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5672784447669983},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5497909784317017},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5489684343338013},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5419183373451233},{"id":"https://openalex.org/C2986080485","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision maker","level":2,"score":0.5170124769210815},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49128907918930054},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4848090708255768},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.4217136800289154},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4187588691711426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38521677255630493},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3693450689315796},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.27110129594802856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24625656008720398},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0857667624950409},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2011.6022362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2011.6022362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Seventh International Conference on Natural Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W42649658","https://openalex.org/W1494716165","https://openalex.org/W1535242099","https://openalex.org/W1553373771","https://openalex.org/W1567214066","https://openalex.org/W1595205399","https://openalex.org/W2023002734","https://openalex.org/W2031232041","https://openalex.org/W2043681098","https://openalex.org/W2047156683","https://openalex.org/W2059131210","https://openalex.org/W2063375245","https://openalex.org/W2110828487","https://openalex.org/W2125502051","https://openalex.org/W2126105956","https://openalex.org/W2159329525"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W85101999","https://openalex.org/W2145877535","https://openalex.org/W2744730182","https://openalex.org/W3134440233","https://openalex.org/W2751605210","https://openalex.org/W2337862504"],"abstract_inverted_index":{"Most":[0],"of":[1,16,30,59,72,96],"the":[2,13,22,55,66,69,102,107,110],"recent":[3],"studies":[4],"on":[5,11],"evolutionary":[6],"multi-objective":[7],"optimization":[8],"(EMO)":[9],"focus":[10],"finding":[12],"whole":[14],"set":[15],"Pareto":[17,31],"optimal":[18],"solutions.":[19],"In":[20,50],"practice,":[21],"users":[23],"are":[24],"normally":[25],"interested":[26],"in":[27,89],"some":[28],"regions":[29,71],"front":[32],"which":[33,114],"satisfy":[34],"their":[35],"preferences":[36,60],"and":[37,117],"an":[38],"ultimate":[39],"decision":[40,48,75,87,121],"making":[41],"process":[42],"may":[43],"be":[44,123],"dominated":[45],"by":[46],"several":[47],"makers.":[49,76],"this":[51],"paper,":[52],"we":[53,99],"integrate":[54],"weighted":[56],"sum":[57],"model":[58],"into":[61],"EMO":[62],"algorithms":[63],"to":[64,74,85],"guide":[65],"search":[67],"towards":[68,109],"pertinent":[70],"interest":[73],"The":[77],"proposed":[78,103],"method":[79],"can":[80,122],"obtain":[81],"multiple":[82],"sub-regions":[83],"corresponding":[84],"each":[86],"maker":[88],"a":[90,94,115,118],"single":[91],"run.":[92],"On":[93],"number":[95],"test":[97],"problems":[98],"show":[100],"that":[101],"algorithm":[104],"efficiently":[105],"guides":[106],"population":[108],"interesting":[111],"regions,":[112],"with":[113],"better":[116],"more":[119],"reliable":[120],"made.":[124]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
