{"id":"https://openalex.org/W2895905096","doi":"https://doi.org/10.1109/cec.2018.8477655","title":"Improved Cuckoo Search with Better Search Capabilities for Solving CEC2017 Benchmark Problems","display_name":"Improved Cuckoo Search with Better Search Capabilities for Solving CEC2017 Benchmark Problems","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2895905096","doi":"https://doi.org/10.1109/cec.2018.8477655","mag":"2895905096"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2018.8477655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2018.8477655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5085767753","display_name":"Rohit Salgotra","orcid":"https://orcid.org/0000-0002-3282-1810"},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rohit Salgotra","raw_affiliation_strings":["Dept. of Electronics and Communication, Thapar University, Patiala, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Communication, Thapar University, Patiala, India","institution_ids":["https://openalex.org/I162030827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062259551","display_name":"Urvinder Singh","orcid":"https://orcid.org/0000-0002-0811-2037"},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Urvinder Singh","raw_affiliation_strings":["Dept. of Electronics and Communication, Thapar University, Patiala, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Communication, Thapar University, Patiala, India","institution_ids":["https://openalex.org/I162030827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060797340","display_name":"Sriparna Saha","orcid":"https://orcid.org/0000-0001-5458-9381"},"institutions":[{"id":"https://openalex.org/I132153292","display_name":"Indian Institute of Technology Patna","ror":"https://ror.org/01ft5vz71","country_code":"IN","type":"education","lineage":["https://openalex.org/I132153292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sriparna Saha","raw_affiliation_strings":["Dept. of Computer Science, Indian Institute of Technology, Patna, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Indian Institute of Technology, Patna, India","institution_ids":["https://openalex.org/I132153292"]}]}],"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":40,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9994000196456909,"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":0.9972000122070312,"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/cuckoo-search","display_name":"Cuckoo search","score":0.9824227690696716},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8071732521057129},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.6234789490699768},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.610561192035675},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5882965326309204},{"id":"https://openalex.org/keywords/guided-local-search","display_name":"Guided Local Search","score":0.577373206615448},{"id":"https://openalex.org/keywords/tabu-search","display_name":"Tabu search","score":0.5250974893569946},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.4482389986515045},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4231102168560028},{"id":"https://openalex.org/keywords/beam-search","display_name":"Beam search","score":0.422376424074173},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.39292359352111816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.305770605802536},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2870422303676605},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2748996615409851},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.091064453125}],"concepts":[{"id":"https://openalex.org/C117241572","wikidata":"https://www.wikidata.org/wiki/Q5192379","display_name":"Cuckoo search","level":3,"score":0.9824227690696716},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8071732521057129},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.6234789490699768},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.610561192035675},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5882965326309204},{"id":"https://openalex.org/C90189156","wikidata":"https://www.wikidata.org/wiki/Q5615481","display_name":"Guided Local Search","level":3,"score":0.577373206615448},{"id":"https://openalex.org/C123370116","wikidata":"https://www.wikidata.org/wiki/Q1424540","display_name":"Tabu search","level":2,"score":0.5250974893569946},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4482389986515045},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4231102168560028},{"id":"https://openalex.org/C19889080","wikidata":"https://www.wikidata.org/wiki/Q2835852","display_name":"Beam search","level":3,"score":0.422376424074173},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.39292359352111816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.305770605802536},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2870422303676605},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2748996615409851},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.091064453125},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2018.8477655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2018.8477655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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":28,"referenced_works":["https://openalex.org/W1524892475","https://openalex.org/W1595159159","https://openalex.org/W1968075052","https://openalex.org/W1974466398","https://openalex.org/W1976744965","https://openalex.org/W1997600725","https://openalex.org/W2028885867","https://openalex.org/W2039811647","https://openalex.org/W2039911195","https://openalex.org/W2042253843","https://openalex.org/W2049999744","https://openalex.org/W2061438946","https://openalex.org/W2077430530","https://openalex.org/W2096166399","https://openalex.org/W2099867268","https://openalex.org/W2103790391","https://openalex.org/W2107763795","https://openalex.org/W2127006037","https://openalex.org/W2137340504","https://openalex.org/W2139795019","https://openalex.org/W2155529731","https://openalex.org/W2182761707","https://openalex.org/W2199160631","https://openalex.org/W2592103183","https://openalex.org/W2729414995","https://openalex.org/W2770697153","https://openalex.org/W4285719527","https://openalex.org/W6631064390"],"related_works":["https://openalex.org/W3022707108","https://openalex.org/W2494989913","https://openalex.org/W4247343174","https://openalex.org/W1987877777","https://openalex.org/W2168643831","https://openalex.org/W2075514833","https://openalex.org/W1979763505","https://openalex.org/W1533229056","https://openalex.org/W4246221531","https://openalex.org/W2883633228"],"abstract_inverted_index":{"Cuckoo":[0],"Search":[1],"is":[2,14,23,75],"a":[3,106,109],"nature":[4],"inspired":[5,15],"evolutionary":[6],"algorithm":[7,127],"to":[8,30,49,83,100,131],"solve":[9,31,132],"real-world":[10],"optimization":[11],"problems.":[12],"It":[13,22],"from":[16],"the":[17,36,54,76,85,89,94,102,122,144],"brood":[18],"parasitism":[19],"of":[20,33,38,44,62,78,96,137,147],"cuckoos.":[21],"highly":[24],"competitive":[25],"and":[26,40,113,155],"has":[27,116,128],"been":[28,47,117,129],"used":[29],"number":[32,43],"problems":[34,136],"in":[35,53,66,149],"field":[37],"science":[39],"engineering.":[41],"A":[42],"modifications":[45,69],"have":[46],"proposed":[48,126],"enhance":[50],"its":[51],"performance":[52,146],"past.":[55],"This":[56],"paper":[57],"presents":[58],"an":[59],"improved":[60],"version":[61],"CS":[63],"namely":[64],"CVnew":[65,148],"which":[67],"three":[68],"are":[70],"proposed.":[71],"The":[72,125,140],"first":[73],"modification":[74],"introduction":[77],"two":[79],"new":[80],"search":[81,87,98,115],"equations":[82,99],"improve":[84,101],"global":[86,112],"while":[88],"second":[90],"one":[91],"deals":[92],"with":[93,151],"incorporation":[95],"four":[97],"local":[103,114],"search.":[104],"As":[105],"third":[107],"modification,":[108],"balance":[110],"between":[111],"increased":[118],"by":[119],"exponentially":[120],"decreasing":[121],"switch":[123],"probability.":[124],"applied":[130],"single":[133],"objective":[134],"real-parameter":[135],"CEC":[138],"2017.":[139],"numerical":[141],"results":[142],"prove":[143],"better":[145],"comparison":[150],"SaDE,":[152],"JADE,":[153],"SHADE":[154],"MVMO.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
