{"id":"https://openalex.org/W1578459922","doi":"https://doi.org/10.1109/cec.2015.7256999","title":"A self-optimization approach for L-SHADE incorporated with eigenvector-based crossover and successful-parent-selecting framework on CEC 2015 benchmark set","display_name":"A self-optimization approach for L-SHADE incorporated with eigenvector-based crossover and successful-parent-selecting framework on CEC 2015 benchmark set","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1578459922","doi":"https://doi.org/10.1109/cec.2015.7256999","mag":"1578459922"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2015.7256999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2015.7256999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Congress on Evolutionary Computation (CEC)","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/A5101880209","display_name":"Shu\u2010Mei Guo","orcid":"https://orcid.org/0000-0001-6807-8427"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Shu-Mei Guo","raw_affiliation_strings":["Computer Science and Information Engineering, National Cheng Kung University, Tainan, TW","Computer Science and Information Engineering, National Cheng-Kung University, Tainan, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Information Engineering, National Cheng Kung University, Tainan, TW","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Computer Science and Information Engineering, National Cheng-Kung University, Tainan, Taiwan, R.O.C","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018771543","display_name":"Jason Sheng-Hong Tsai","orcid":"https://orcid.org/0000-0002-3543-9211"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jason Sheng-Hong Tsai","raw_affiliation_strings":["Electrical Engineering, National Cheng Kung University, Tainan, TW","Electrical Engineering, National Cheng-Kung University, Tainan, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering, National Cheng Kung University, Tainan, TW","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Electrical Engineering, National Cheng-Kung University, Tainan, Taiwan, R.O.C","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002756124","display_name":"Chin-Chang Yang","orcid":"https://orcid.org/0000-0002-4596-1126"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chin-Chang Yang","raw_affiliation_strings":["Computer Science and Information Engineering, National Cheng Kung University, Tainan, TW","Computer Science and Information Engineering, National Cheng-Kung University, Tainan, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Information Engineering, National Cheng Kung University, Tainan, TW","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Computer Science and Information Engineering, National Cheng-Kung University, Tainan, Taiwan, R.O.C","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019082017","display_name":"Pang-Han Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pang-Han Hsu","raw_affiliation_strings":["Computer Science and Information Engineering, National Cheng Kung University, Tainan, TW","Computer Science and Information Engineering, National Cheng-Kung University, Tainan, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Information Engineering, National Cheng Kung University, Tainan, TW","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Computer Science and Information Engineering, National Cheng-Kung University, Tainan, Taiwan, R.O.C","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101880209"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":23.5932,"has_fulltext":false,"cited_by_count":145,"citation_normalized_percentile":{"value":0.99492693,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1003","last_page":"1010"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9965999722480774,"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":0.9937999844551086,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.8601131439208984},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8127492666244507},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.6595876216888428},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5912632942199707},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5700744390487671},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.5328906774520874},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5110310316085815},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4858941435813904},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.4738728702068329},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.46399638056755066},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.44271978735923767},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.43804627656936646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4227057099342346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3699297308921814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2378768026828766},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.2110573947429657},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07092702388763428}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.8601131439208984},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8127492666244507},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.6595876216888428},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5912632942199707},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5700744390487671},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.5328906774520874},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5110310316085815},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4858941435813904},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.4738728702068329},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.46399638056755066},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.44271978735923767},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.43804627656936646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4227057099342346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3699297308921814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2378768026828766},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.2110573947429657},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07092702388763428},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2015.7256999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2015.7256999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1986073756","https://openalex.org/W1994570637","https://openalex.org/W2042253843","https://openalex.org/W2074555546","https://openalex.org/W2144051602"],"related_works":["https://openalex.org/W1988293173","https://openalex.org/W2076472895","https://openalex.org/W2389275641","https://openalex.org/W3111421931","https://openalex.org/W2895647686","https://openalex.org/W3177681191","https://openalex.org/W2039847237","https://openalex.org/W2997917529","https://openalex.org/W4386858344","https://openalex.org/W3193631885"],"abstract_inverted_index":{"A":[0],"self-optimization":[1],"approach":[2],"and":[3,25,81,121],"a":[4,26,39],"new":[5],"success-history":[6],"based":[7],"adaptive":[8],"differential":[9],"evolution":[10],"with":[11,20,51,78,125],"linear":[12],"population":[13,113],"size":[14],"reduction":[15],"(L-SHADE)":[16],"which":[17,43],"is":[18,38],"incorporated":[19],"an":[21,59,141],"eigenvector-based":[22],"(EIG)":[23],"crossover":[24,37],"successful-parent-selecting":[27],"(SPS)":[28],"framework":[29,57],"are":[30,93,135],"proposed":[31,73],"in":[32,95,109,155],"this":[33],"paper.":[34],"The":[35,55,72,111,146],"EIG":[36,80],"rotationally":[40],"invariant":[41],"operator":[42],"provides":[44,58],"superior":[45],"performance":[46,117,150],"on":[47,103],"numerical":[48],"optimization":[49,161],"problems":[50],"highly":[52],"correlated":[53],"variables.":[54],"SPS":[56,82],"alternative":[60],"of":[61,64,70,91,97,118,144,151],"the":[62,68,76,79,87,89,116,126,130,133,149,152],"selection":[63],"parents":[65],"to":[66],"prevent":[67],"situation":[69],"stagnation.":[71],"SPS-L-SHADE-EIG":[74,92,119,154],"combines":[75],"L-SHADE":[77],"frameworks.":[83],"To":[84],"further":[85],"improve":[86],"performance,":[88],"parameters":[90,131,134],"self-optimized":[94,153],"terms":[96],"each":[98],"function":[99],"under":[100],"IEEE":[101],"Congress":[102],"Evolutionary":[104],"Computation":[105],"(CEC)":[106],"benchmark":[107],"set":[108],"2015.":[110],"stochastic":[112],"search":[114],"causes":[115],"noisy,":[120],"therefore":[122],"we":[123],"deal":[124],"noise":[127],"by":[128],"re-evaluating":[129],"if":[132],"not":[136],"updated":[137],"for":[138],"more":[139],"than":[140],"unacceptable":[142],"amount":[143],"times.":[145],"experiment":[147],"evaluates":[148],"CEC":[156],"2015":[157],"real-parameter":[158],"single":[159],"objective":[160],"competition.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":28},{"year":2018,"cited_by_count":24},{"year":2017,"cited_by_count":20},{"year":2016,"cited_by_count":9}],"updated_date":"2026-04-30T09:15:22.047038","created_date":"2025-10-10T00:00:00"}
