{"id":"https://openalex.org/W4414871479","doi":"https://doi.org/10.1109/access.2025.3618464","title":"Wind Farm Layout Optimization Based on ROA","display_name":"Wind Farm Layout Optimization Based on ROA","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414871479","doi":"https://doi.org/10.1109/access.2025.3618464"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3618464","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3618464","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3618464","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119867909","display_name":"Feiyang Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feiyang Qin","raw_affiliation_strings":["Guangxi Key Laboratory of Power System Optimization and Energy Saving Technology, School of Electrical Engineering, Guangxi University, Nanning, China","School of Electrical Engineering, Guangxi Key Laboratory of Power System Optimization and Energy Saving Technology, Guangxi University, Nanning, China"],"raw_orcid":"https://orcid.org/0009-0000-0050-2578","affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Power System Optimization and Energy Saving Technology, School of Electrical Engineering, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]},{"raw_affiliation_string":"School of Electrical Engineering, Guangxi Key Laboratory of Power System Optimization and Energy Saving Technology, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100805040","display_name":"Yun Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Zhu","raw_affiliation_strings":["Guangxi Key Laboratory of Power System Optimization and Energy Saving Technology, School of Electrical Engineering, Guangxi University, Nanning, China","School of Electrical Engineering, Guangxi Key Laboratory of Power System Optimization and Energy Saving Technology, Guangxi University, Nanning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Power System Optimization and Energy Saving Technology, School of Electrical Engineering, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]},{"raw_affiliation_string":"School of Electrical Engineering, Guangxi Key Laboratory of Power System Optimization and Energy Saving Technology, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035240379","display_name":"Baoliang Li","orcid":"https://orcid.org/0000-0001-5408-0796"},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Banghong Li","raw_affiliation_strings":["SPIC Guangxi Electric Power Company Ltd., Nanning, China","SPIC Guangxi Electric Power Co., LTD, Nanning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SPIC Guangxi Electric Power Company Ltd., Nanning, China","institution_ids":["https://openalex.org/I4210126065"]},{"raw_affiliation_string":"SPIC Guangxi Electric Power Co., LTD, Nanning, China","institution_ids":["https://openalex.org/I4210126065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5119867909"],"corresponding_institution_ids":["https://openalex.org/I150807315"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36958386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"176501","last_page":"176524"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/robustness","display_name":"Robustness (evolution)","score":0.7592999935150146},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5698999762535095},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.5245000123977661},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.5187000036239624},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.4535999894142151},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4131999909877777},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.38519999384880066},{"id":"https://openalex.org/keywords/nonlinear-programming","display_name":"Nonlinear programming","score":0.36570000648498535}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7592999935150146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6538000106811523},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6126999855041504},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5698999762535095},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.5245000123977661},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.5187000036239624},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.4535999894142151},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4131999909877777},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40939998626708984},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.38519999384880066},{"id":"https://openalex.org/C115527620","wikidata":"https://www.wikidata.org/wiki/Q769909","display_name":"Nonlinear programming","level":3,"score":0.36570000648498535},{"id":"https://openalex.org/C5979214","wikidata":"https://www.wikidata.org/wiki/Q126932","display_name":"Cost of electricity by source","level":4,"score":0.34389999508857727},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.29420000314712524},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3618464","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3618464","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:04318237acf7416aa2d3d2c6d9bcd370","is_oa":true,"landing_page_url":"https://doaj.org/article/04318237acf7416aa2d3d2c6d9bcd370","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 176501-176524 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3618464","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3618464","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1010487815","https://openalex.org/W1501003738","https://openalex.org/W1591535024","https://openalex.org/W1595159159","https://openalex.org/W1988020834","https://openalex.org/W2004191206","https://openalex.org/W2015832884","https://openalex.org/W2025148441","https://openalex.org/W2061438946","https://openalex.org/W2065593596","https://openalex.org/W2071562292","https://openalex.org/W2081820985","https://openalex.org/W2090997006","https://openalex.org/W2113196081","https://openalex.org/W2144863680","https://openalex.org/W2148500528","https://openalex.org/W2151554678","https://openalex.org/W2168081761","https://openalex.org/W2170841283","https://openalex.org/W2537610172","https://openalex.org/W2608103783","https://openalex.org/W2619378363","https://openalex.org/W2729414995","https://openalex.org/W2745405222","https://openalex.org/W2801892709","https://openalex.org/W2973125877","https://openalex.org/W2974473399","https://openalex.org/W2979520358","https://openalex.org/W2998553334","https://openalex.org/W3003864562","https://openalex.org/W3083401978","https://openalex.org/W3119292278","https://openalex.org/W3124350249","https://openalex.org/W3135934252","https://openalex.org/W4231702991","https://openalex.org/W4253886587","https://openalex.org/W4292083457","https://openalex.org/W4313419376","https://openalex.org/W4323838457","https://openalex.org/W4360980642","https://openalex.org/W4362724099","https://openalex.org/W4365141441","https://openalex.org/W4367856461","https://openalex.org/W4379115221","https://openalex.org/W4384108464","https://openalex.org/W4388736503","https://openalex.org/W4390128809","https://openalex.org/W4390806476","https://openalex.org/W4391755595","https://openalex.org/W4391998288","https://openalex.org/W4392130001","https://openalex.org/W4402310311"],"related_works":[],"abstract_inverted_index":{"Animals":[0],"in":[1,69,133],"nature":[2],"possess":[3],"unique":[4,26],"forms":[5],"of":[6,29,113],"wisdom.":[7],"In":[8,94],"recent":[9],"years,":[10],"scientists":[11],"have":[12],"increasingly":[13],"favored":[14],"methods":[15],"for":[16,40,90],"emulating":[17],"animal":[18],"behaviors":[19],"to":[20,49,86],"solve":[21,50],"problems.":[22,93],"Inspired":[23],"by":[24,106,116],"the":[25,44,66,84,101,110,120],"reproductive":[27],"behavior":[28],"Rhodeus":[30,45],"Ocellatus":[31,46],"(RO),":[32],"which":[33],"involves":[34],"adaptive":[35],"trade-off":[36],"strategies":[37],"while":[38],"searching":[39],"clams,":[41],"we":[42],"propose":[43],"Algorithm":[47],"(ROA)":[48],"strongly":[51,91],"nonlinear":[52,92],"problems":[53],"like":[54],"wind":[55],"farm":[56],"layout":[57],"optimization":[58],"(WFLO).":[59],"Experiment":[60],"results":[61,124],"show":[62,126],"that":[63,127],"ROA":[64,98,128],"achieves":[65],"first":[67],"place":[68],"all":[70],"3":[71],"CEC":[72],"test":[73],"suites.":[74],"It":[75],"outperforms":[76,129],"other":[77,130],"metaheuristic":[78],"algorithms,":[79],"demonstrating":[80],"excellent":[81],"robustness":[82],"and":[83,108],"ability":[85],"find":[87],"better":[88],"solutions":[89],"real-life":[95],"WFLO":[96,135],"cases,":[97],"significantly":[99],"improves":[100],"annual":[102],"energy":[103],"performance":[104],"(AEP)":[105],"9.47%":[107],"reduces":[109],"levelized":[111],"cost":[112],"electricity":[114],"(LCOE)":[115],"8.65%":[117],"compared":[118],"with":[119],"actual":[121],"layout.":[122],"The":[123],"also":[125],"state-of-the-art":[131],"algorithms":[132],"solving":[134],"problem.":[136]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
