{"id":"https://openalex.org/W4392255222","doi":"https://doi.org/10.1145/3638209.3638219","title":"Comparative Study of Hybridization and Parameter Tuning Improvement Methods for EAs in WFLOP","display_name":"Comparative Study of Hybridization and Parameter Tuning Improvement Methods for EAs in WFLOP","publication_year":2023,"publication_date":"2023-11-25","ids":{"openalex":"https://openalex.org/W4392255222","doi":"https://doi.org/10.1145/3638209.3638219"},"language":"en","primary_location":{"id":"doi:10.1145/3638209.3638219","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3638209.3638219","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3638209.3638219","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3638209.3638219","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094025227","display_name":"Ziqing Ye","orcid":"https://orcid.org/0009-0003-7685-3499"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ziqing Ye","raw_affiliation_strings":["Tohoku University, Japan"],"raw_orcid":"https://orcid.org/0009-0003-7685-3499","affiliations":[{"raw_affiliation_string":"Tohoku University, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069376593","display_name":"Haichuan Yang","orcid":"https://orcid.org/0000-0001-7100-7945"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]},{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Haichuan Yang","raw_affiliation_strings":["Tokushima University, Japan and Tohoku University, Japan"],"raw_orcid":"https://orcid.org/0000-0001-7100-7945","affiliations":[{"raw_affiliation_string":"Tokushima University, Japan and Tohoku University, Japan","institution_ids":["https://openalex.org/I922474255","https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027888497","display_name":"Naoya Chiba","orcid":"https://orcid.org/0000-0003-3332-4426"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoya Chiba","raw_affiliation_strings":["Tohoku University, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3332-4426","affiliations":[{"raw_affiliation_string":"Tohoku University, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005043084","display_name":"Koichi Hashimoto","orcid":"https://orcid.org/0000-0002-4473-2698"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koichi Hashimoto","raw_affiliation_strings":["Tohoku University, Japan"],"raw_orcid":"https://orcid.org/0000-0002-4473-2698","affiliations":[{"raw_affiliation_string":"Tohoku University, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"59","last_page":"65"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10680","display_name":"Wind Energy Research and Development","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10680","display_name":"Wind Energy Research and Development","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11115","display_name":"Topology Optimization in Engineering","score":0.9501000046730042,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.7446472644805908},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6721597909927368},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.541976809501648},{"id":"https://openalex.org/keywords/blank","display_name":"Blank","score":0.5346144437789917},{"id":"https://openalex.org/keywords/evolution-strategy","display_name":"Evolution strategy","score":0.48680374026298523},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4765620529651642},{"id":"https://openalex.org/keywords/fine-tuning","display_name":"Fine-tuning","score":0.4316618740558624},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37901291251182556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32425105571746826},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32330623269081116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17596715688705444},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12334468960762024}],"concepts":[{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.7446472644805908},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6721597909927368},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.541976809501648},{"id":"https://openalex.org/C2778089247","wikidata":"https://www.wikidata.org/wiki/Q368951","display_name":"Blank","level":2,"score":0.5346144437789917},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.48680374026298523},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4765620529651642},{"id":"https://openalex.org/C157524613","wikidata":"https://www.wikidata.org/wiki/Q2828883","display_name":"Fine-tuning","level":2,"score":0.4316618740558624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37901291251182556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32425105571746826},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32330623269081116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17596715688705444},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12334468960762024},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638209.3638219","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3638209.3638219","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3638209.3638219","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3638209.3638219","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3638209.3638219","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3638209.3638219","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8899999856948853,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1936760464","display_name":null,"funder_award_id":"21H05293","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G748371214","display_name":"3.5D measurements and point cloud processing for handling and inspection of transparent and shiny objects","funder_award_id":"19H01096","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8248226943","display_name":null,"funder_award_id":"21H05298","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392255222.pdf","grobid_xml":"https://content.openalex.org/works/W4392255222.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1156716291","https://openalex.org/W1977548553","https://openalex.org/W2090997006","https://openalex.org/W2103055617","https://openalex.org/W2153386665","https://openalex.org/W2254520764","https://openalex.org/W2515012917","https://openalex.org/W2745405222","https://openalex.org/W2942947862","https://openalex.org/W2971661138","https://openalex.org/W2979619501","https://openalex.org/W3006746595","https://openalex.org/W3024773021","https://openalex.org/W3057542235","https://openalex.org/W3217277370","https://openalex.org/W4221079039","https://openalex.org/W4225792038"],"related_works":["https://openalex.org/W2394392475","https://openalex.org/W2069937987","https://openalex.org/W1571424162","https://openalex.org/W2015132550","https://openalex.org/W3006802988","https://openalex.org/W2235797280","https://openalex.org/W1825560194","https://openalex.org/W3199390665","https://openalex.org/W2126943800","https://openalex.org/W2021957875"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"wind":[3],"farm":[4],"layout":[5],"optimization":[6,85],"problem":[7],"(WFLOP)":[8],"using":[9],"evolutionary":[10,30],"algorithms":[11],"has":[12],"become":[13],"a":[14],"popular":[15],"research":[16],"area.":[17],"However,":[18],"there":[19],"still":[20],"lack":[21],"of":[22,25],"comparative":[23],"study":[24,39],"effective":[26,97],"improvement":[27,51],"strategies":[28,52],"for":[29,53,111],"algorithm":[31,50],"on":[32,98],"WFLOP.":[33,54,87,99],"To":[34],"fill":[35],"this":[36,38],"blank,":[37],"tries":[40],"to":[41,56,78],"guide":[42],"researcher":[43],"more":[44,105],"effectively":[45,106],"in":[46],"identifying":[47],"the":[48,57,79,83,108],"proper":[49,109],"According":[55],"parameter":[58,63,75,93],"tuning":[59,64,94],"strategy,":[60],"an":[61],"adaptive":[62],"differential":[65],"evolution":[66],"(APDE)":[67],"is":[68,96],"proposed.":[69],"APDE":[70],"can":[71],"adaptively":[72],"adjust":[73],"its":[74],"setting":[76],"according":[77],"current":[80],"cases,":[81],"addressing":[82],"complex":[84],"like":[86],"The":[88],"experimental":[89],"results":[90],"suggest":[91],"that":[92],"strategy":[95],"This":[100],"finding":[101],"might":[102],"help":[103],"researchers":[104],"choose":[107],"methods":[110],"improvement.":[112]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
