{"id":"https://openalex.org/W6944954458","doi":"https://doi.org/10.21227/jwxr-hn50","title":"Raw results of the ESO algorithm","display_name":"Raw results of the ESO algorithm","publication_year":2024,"publication_date":"2024-07-26","ids":{"openalex":"https://openalex.org/W6944954458","doi":"https://doi.org/10.21227/jwxr-hn50"},"language":"en","primary_location":{"id":"doi:10.21227/jwxr-hn50","is_oa":true,"landing_page_url":"https://doi.org/10.21227/jwxr-hn50","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/jwxr-hn50","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Soto, Manuel","orcid":null},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Soto, Manuel","raw_affiliation_strings":["Hiroshima University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hiroshima University","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lee, Han Soo","orcid":null},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Lee, Han Soo","raw_affiliation_strings":["Hiroshima University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hiroshima University","institution_ids":["https://openalex.org/I113306721"]}]}],"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":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.7907000184059143},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7710000276565552},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6603999733924866},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.5982000231742859},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.4643000066280365},{"id":"https://openalex.org/keywords/potential-field","display_name":"Potential field","score":0.4269999861717224},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.38769999146461487}],"concepts":[{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.7907000184059143},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7710000276565552},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6603999733924866},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.5982000231742859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5849999785423279},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4661000072956085},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4643000066280365},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44830000400543213},{"id":"https://openalex.org/C2986897749","wikidata":"https://www.wikidata.org/wiki/Q231761","display_name":"Potential field","level":2,"score":0.4269999861717224},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.38769999146461487},{"id":"https://openalex.org/C123370116","wikidata":"https://www.wikidata.org/wiki/Q1424540","display_name":"Tabu search","level":2,"score":0.3659999966621399},{"id":"https://openalex.org/C105306849","wikidata":"https://www.wikidata.org/wiki/Q81054","display_name":"Storm","level":2,"score":0.33390000462532043},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3093000054359436},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2921000123023987},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2703999876976013},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26030001044273376},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2590000033378601},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.2572000026702881}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/jwxr-hn50","is_oa":true,"landing_page_url":"https://doi.org/10.21227/jwxr-hn50","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/jwxr-hn50","is_oa":true,"landing_page_url":"https://doi.org/10.21227/jwxr-hn50","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,93],"Electrical":[1],"Storm":[2],"Optimization":[3],"(ESO)":[4],"algorithm,":[5],"inspired":[6],"by":[7],"the":[8,33,38,47,53,61,64,68,88,104],"dynamic":[9],"nature":[10],"of":[11,35,49,55,63],"electrical":[12],"storms,":[13],"is":[14,132],"a":[15,123],"novel":[16],"population-based":[17],"metaheuristic":[18],"that":[19],"employs":[20],"three":[21],"dynamically":[22],"adjusted":[23],"parameters:":[24],"field":[25],"resistance,":[26],"intensity,":[27],"and":[28,52,110,128,147],"conductivity.":[29],"Field":[30,44,58],"resistance":[31],"assesses":[32],"spread":[34],"solutions":[36],"within":[37],"search":[39,65,89],"space,":[40],"reflecting":[41],"strategy":[42],"diversity.":[43],"intensity":[45],"balances":[46],"exploration":[48,127],"new":[50],"territories":[51],"exploitation":[54],"promising":[56],"areas.":[57],"conductivity":[59],"adjusts":[60],"adaptability":[62],"process,":[66],"enhancing":[67],"algorithm's":[69],"ability":[70],"to":[71,79,83],"escape":[72],"local":[73],"optima.":[74,92],"These":[75],"adjustments":[76],"enable":[77],"ESO":[78],"adapt":[80],"in":[81,120,138],"real-time":[82],"various":[84],"optimization":[85],"scenarios,":[86],"steering":[87],"toward":[90],"potential":[91],"ESO's":[94,116],"performance":[95],"was":[96],"rigorously":[97],"tested":[98],"against":[99],"65":[100],"benchmark":[101],"problems":[102],"including":[103],"IEEE":[105],"CEC":[106],"SOBC":[107],"2022":[108],"suite":[109],"20":[111],"well-known":[112],"metaheuristics.":[113],"Results":[114],"demonstrated":[115],"superior":[117],"performance,":[118],"particularly":[119],"tasks":[121],"requiring":[122],"nuanced":[124],"balance":[125],"between":[126],"exploitation.":[129],"Its":[130],"efficacy":[131],"further":[133],"validated":[134],"through":[135],"successful":[136],"applications":[137],"four":[139],"engineering":[140],"domains,":[141],"highlighting":[142],"its":[143],"precision,":[144],"stability,":[145],"flexibility,":[146],"efficiency.":[148]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
