{"id":"https://openalex.org/W4392447117","doi":"https://doi.org/10.1145/3639233.3639351","title":"A New Improved Multiple Behaviors Whale Optimization Algorithm","display_name":"A New Improved Multiple Behaviors Whale Optimization Algorithm","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4392447117","doi":"https://doi.org/10.1145/3639233.3639351"},"language":"en","primary_location":{"id":"doi:10.1145/3639233.3639351","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3639233.3639351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval","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/A5100690600","display_name":"Yang Zhang","orcid":"https://orcid.org/0009-0004-9675-9296"},"institutions":[{"id":"https://openalex.org/I41802502","display_name":"Kanagawa University","ror":"https://ror.org/02j6c0d67","country_code":"JP","type":"education","lineage":["https://openalex.org/I41802502"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["Department of Computer Science, Kanagawa University, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kanagawa University, Japan","institution_ids":["https://openalex.org/I41802502"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100690600"],"corresponding_institution_ids":["https://openalex.org/I41802502"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2085807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"278","last_page":"282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994999766349792,"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":0.9994999766349792,"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/T12288","display_name":"Optimization and Search Problems","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5952333807945251},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5909428596496582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5597838759422302},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.5273191332817078},{"id":"https://openalex.org/keywords/premature-convergence","display_name":"Premature convergence","score":0.5250756144523621},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5244950652122498},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5053134560585022},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.4968405067920685},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4793834984302521},{"id":"https://openalex.org/keywords/whale","display_name":"Whale","score":0.45390215516090393},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4395518898963928},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4246181845664978},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2835713326931}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5952333807945251},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5909428596496582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5597838759422302},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.5273191332817078},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.5250756144523621},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5244950652122498},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5053134560585022},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.4968405067920685},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4793834984302521},{"id":"https://openalex.org/C2777704720","wikidata":"https://www.wikidata.org/wiki/Q1865281","display_name":"Whale","level":2,"score":0.45390215516090393},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4395518898963928},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4246181845664978},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2835713326931},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3639233.3639351","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3639233.3639351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.75,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1523989055","https://openalex.org/W1983257293","https://openalex.org/W2019942604","https://openalex.org/W2075317014","https://openalex.org/W2118051273","https://openalex.org/W2148709420","https://openalex.org/W2886555869","https://openalex.org/W4300005723"],"related_works":["https://openalex.org/W42170614","https://openalex.org/W2070977815","https://openalex.org/W2364947648","https://openalex.org/W1934426788","https://openalex.org/W2568269143","https://openalex.org/W2379567910","https://openalex.org/W1959298326","https://openalex.org/W2391178530","https://openalex.org/W2568341866","https://openalex.org/W2144045215"],"abstract_inverted_index":{"The":[0,41,124,152],"Whale":[1,37],"Optimization":[2,38],"Algorithm":[3,39],"(WOA)":[4],"has":[5],"demonstrated":[6],"superior":[7],"performance":[8],"compared":[9,142],"with":[10,50,143],"other":[11,145,161],"swarm":[12,149],"intelligence":[13],"algorithms,":[14],"making":[15],"it":[16],"widely":[17],"used":[18,99],"and":[19,60,94,126,138,168],"applied":[20],"to":[21,33,100,117,121],"practical":[22],"problem-solving.":[23],"In":[24,83],"this":[25],"paper,":[26],"an":[27],"enhanced":[28],"WOA":[29,47],"is":[30,48,98,110],"proposed,":[31],"referred":[32],"as":[34],"the":[35,45,58,65,69,75,80,84,113,129,139,157],"Improved":[36],"(IWOA).":[40],"convergence":[42,120,166],"factor":[43],"of":[44,64,79,90,108,128,165],"traditional":[46],"replaced":[49],"a":[51,88,105],"random":[52,92,102,106],"trigonometric":[53],"function,":[54],"which":[55],"considers":[56],"both":[57],"historical":[59],"current":[61],"best":[62],"positions":[63],"whale":[66,81],"population":[67],"during":[68],"bubble-encircling":[70],"search":[71,77,86,115],"phase,":[72,87],"thereby":[73],"accelerating":[74],"global":[76],"speed":[78,167],"population.":[82],"random-encircling":[85],"combination":[89],"equiprobable":[91],"selection":[93,97],"roulette":[95],"wheel":[96],"select":[101],"positions.":[103],"Additionally,":[104],"perturbation":[107],"individuals":[109],"introduced":[111],"in":[112,163],"spiral":[114],"phase":[116],"prevent":[118],"premature":[119],"local":[122],"optima.":[123],"effectiveness":[125],"robustness":[127],"IWOA":[130,159],"are":[131,141],"evaluated":[132],"using":[133],"4":[134],"benchmark":[135],"function":[136],"problems,":[137],"results":[140,154],"three":[144],"algorithms":[146,162],"including":[147],"particle":[148],"optimization":[150],"(PSO).":[151],"experimental":[153],"demonstrate":[155],"that":[156],"proposed":[158],"outperforms":[160],"terms":[164],"accuracy.":[169]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}