{"id":"https://openalex.org/W3083180769","doi":"https://doi.org/10.1109/cec48606.2020.9185735","title":"Multi-population Modified L-SHADE for Single Objective Bound Constrained optimization","display_name":"Multi-population Modified L-SHADE for Single Objective Bound Constrained optimization","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3083180769","doi":"https://doi.org/10.1109/cec48606.2020.9185735","mag":"3083180769"},"language":"en","primary_location":{"id":"doi:10.1109/cec48606.2020.9185735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec48606.2020.9185735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Congress on Evolutionary Computation (CEC)","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/A5005949903","display_name":"Yann-Chern Jou","orcid":null},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yann-Chern Jou","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan Normal University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan Normal University, Taipei, Taiwan","institution_ids":["https://openalex.org/I134161618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040202178","display_name":"Shuo-Ying Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shuo-Ying Wang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan Normal University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan Normal University, Taipei, Taiwan","institution_ids":["https://openalex.org/I134161618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103054554","display_name":"Jia-Fong Yeh","orcid":"https://orcid.org/0000-0002-7512-9920"},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jia-Fong Yeh","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan Normal University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan Normal University, Taipei, Taiwan","institution_ids":["https://openalex.org/I134161618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069510989","display_name":"Tsung-Che Chiang","orcid":"https://orcid.org/0000-0001-8253-795X"},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-Che Chiang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan Normal University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan Normal University, Taipei, Taiwan","institution_ids":["https://openalex.org/I134161618"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I134161618"],"apc_list":null,"apc_paid":null,"fwci":0.92,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.78788372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987000226974487,"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":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.49686720967292786},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4793753921985626},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4006028175354004},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2531813383102417}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49686720967292786},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4793753921985626},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4006028175354004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2531813383102417},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec48606.2020.9185735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec48606.2020.9185735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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":20,"referenced_works":["https://openalex.org/W1522538275","https://openalex.org/W1999105451","https://openalex.org/W2042253843","https://openalex.org/W2068610075","https://openalex.org/W2129724855","https://openalex.org/W2134154181","https://openalex.org/W2138278080","https://openalex.org/W2144051602","https://openalex.org/W2155529731","https://openalex.org/W2162145193","https://openalex.org/W2558097110","https://openalex.org/W2726266751","https://openalex.org/W2729414995","https://openalex.org/W2732171826","https://openalex.org/W2887502367","https://openalex.org/W2897728985","https://openalex.org/W2968136262","https://openalex.org/W3216351816","https://openalex.org/W6631460888","https://openalex.org/W6804376020"],"related_works":["https://openalex.org/W1981065133","https://openalex.org/W2127518758","https://openalex.org/W2522007335","https://openalex.org/W2010249275","https://openalex.org/W2612808690","https://openalex.org/W71908675","https://openalex.org/W2668077663","https://openalex.org/W2137219649","https://openalex.org/W1538631296","https://openalex.org/W3120761451"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"extend":[4],"a":[5,34],"previous":[6],"algorithm":[7,56],"mL-SHADE":[8],"by":[9,33,59],"running":[10],"the":[11,46,54,64,76,79],"evolutionary":[12],"process":[13],"through":[14],"multiple":[15],"populations":[16],"and":[17,24,40],"adding":[18],"dynamic":[19],"control":[20],"of":[21,48,53,78],"mutation":[22],"intensity":[23,39],"hyper-parameters.":[25],"The":[26,73],"whole":[27],"population":[28],"is":[29,57],"partitioned":[30],"into":[31],"subpopulations":[32],"random":[35],"clustering":[36],"method.":[37],"Mutation":[38],"hyper-parameters":[41],"are":[42],"adjusted":[43],"based":[44],"on":[45,67],"consumption":[47],"fitness":[49],"function":[50],"evaluations.":[51],"Performance":[52],"proposed":[55,80],"verified":[58],"ten":[60],"benchmark":[61],"functions":[62],"in":[63],"CEC2020":[65],"Competition":[66],"Single":[68],"Objective":[69],"Bound":[70],"Constrained":[71],"optimization.":[72],"results":[74],"show":[75],"competitiveness":[77],"algorithm.":[81]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
