{"id":"https://openalex.org/W2954366169","doi":"https://doi.org/10.1155/2019/6291968","title":"An Improved Squirrel Search Algorithm for Optimization","display_name":"An Improved Squirrel Search Algorithm for Optimization","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2954366169","doi":"https://doi.org/10.1155/2019/6291968","mag":"2954366169"},"language":"en","primary_location":{"id":"doi:10.1155/2019/6291968","doi":"https://doi.org/10.1155/2019/6291968","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/6291968","pdf_url":"https://downloads.hindawi.com/journals/complexity/2019/6291968.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2019/6291968.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014439186","display_name":"Tongyi Zheng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongyi Zheng","raw_affiliation_strings":["School of Civil Engineering, Guangzhou University, Guangzhou, China gzhu.edu.cn","School of Civil Engineering, Guangzhou University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Guangzhou University, Guangzhou, China gzhu.edu.cn","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Civil Engineering, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001004670","display_name":"Weili Luo","orcid":"https://orcid.org/0000-0001-5426-7788","observed_orcids":["https://orcid.org/0000-0001-5426-7788"]},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weili Luo","raw_affiliation_strings":["School of Civil Engineering, Guangzhou University, Guangzhou, China gzhu.edu.cn","School of Civil Engineering, Guangzhou University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5426-7788","affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Guangzhou University, Guangzhou, China gzhu.edu.cn","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Civil Engineering, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5001004670"],"corresponding_institution_ids":["https://openalex.org/I37987034"],"apc_list":{"value":2760,"currency":"USD","value_usd":2760},"apc_paid":{"value":2760,"currency":"USD","value_usd":2760},"fwci":3.4208,"has_fulltext":true,"cited_by_count":59,"citation_normalized_percentile":{"value":0.93671049,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"2019","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":1.0,"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":1.0,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.0,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/squirrel-search-algorithm","display_name":"squirrel search algorithm","score":0.9900000095367432},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"swarm intelligence","score":0.7820000052452087},{"id":"https://openalex.org/keywords/normal-cloud-model","display_name":"normal cloud model","score":0.9120000004768372},{"id":"https://openalex.org/keywords/foraging-behavior","display_name":"foraging behavior","score":0.8560000061988831},{"id":"https://openalex.org/keywords/global-convergence","display_name":"global convergence","score":0.8019999861717224},{"id":"https://openalex.org/keywords/multimodal-optimization","display_name":"multimodal optimization","score":0.859000027179718},{"id":"https://openalex.org/keywords/cec2014-benchmark-functions","display_name":"CEC2014 benchmark functions","score":0.8930000066757202}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5726121664047241},{"id":"https://openalex.org/C2776030879","wikidata":"https://www.wikidata.org/wiki/Q309200","display_name":"Squirrel monkey","level":2,"score":0.4886096119880676},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.4551432728767395},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3992854356765747},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37541526556015015},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22564935684204102},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0986928641796112},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.06417489051818848}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2019/6291968","doi":"https://doi.org/10.1155/2019/6291968","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/6291968","pdf_url":"https://downloads.hindawi.com/journals/complexity/2019/6291968.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:6291968","doi":null,"is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2019/6291968.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:827e4e44a75d4fe1925131806783e122","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/827e4e44a75d4fe1925131806783e122","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,"listed_in":[],"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":"Complexity, Vol 2019 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2019/6291968","doi":"https://doi.org/10.1155/2019/6291968","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/6291968","pdf_url":"https://downloads.hindawi.com/journals/complexity/2019/6291968.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1419122023","display_name":null,"funder_award_id":"51808147","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1764462961","display_name":null,"funder_award_id":"2017YFC1500400","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8092258945","display_name":null,"funder_award_id":"2017YFC1500400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8458351483","display_name":null,"funder_award_id":"51808147","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2954366169.pdf","grobid_xml":"https://content.openalex.org/works/W2954366169.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1530490667","https://openalex.org/W1959523037","https://openalex.org/W1976744965","https://openalex.org/W1977785179","https://openalex.org/W2024518622","https://openalex.org/W2037066620","https://openalex.org/W2044587647","https://openalex.org/W2053425568","https://openalex.org/W2054878539","https://openalex.org/W2059372499","https://openalex.org/W2061438946","https://openalex.org/W2068878490","https://openalex.org/W2072955302","https://openalex.org/W2075519825","https://openalex.org/W2096166399","https://openalex.org/W2107886654","https://openalex.org/W2108388069","https://openalex.org/W2119401655","https://openalex.org/W2131613989","https://openalex.org/W2133434503","https://openalex.org/W2138844572","https://openalex.org/W2143560894","https://openalex.org/W2151554678","https://openalex.org/W2152195021","https://openalex.org/W2165683014","https://openalex.org/W2334731071","https://openalex.org/W2405250443","https://openalex.org/W2554819721","https://openalex.org/W2587399200","https://openalex.org/W2606276573","https://openalex.org/W2617638177","https://openalex.org/W2671023819","https://openalex.org/W2766567518","https://openalex.org/W2791899797","https://openalex.org/W2921958389","https://openalex.org/W2927172478","https://openalex.org/W2963103847","https://openalex.org/W4230167402","https://openalex.org/W4250445821","https://openalex.org/W4253572765"],"related_works":["https://openalex.org/W3030260003","https://openalex.org/W2936908223","https://openalex.org/W3014612713","https://openalex.org/W4389012234","https://openalex.org/W4292348111","https://openalex.org/W2791899797","https://openalex.org/W4386282913","https://openalex.org/W7156079287","https://openalex.org/W7211866500","https://openalex.org/W4406901301"],"abstract_inverted_index":{"Squirrel":[0],"search":[1,124,131,152],"algorithm":[2],"(SSA)":[3],"is":[4,54,67,84,106,134],"a":[5,80,100,129],"new":[6],"biological\u2010inspired":[7],"optimization":[8,24,177],"algorithm,":[9,128],"which":[10],"has":[11,35],"been":[12],"proved":[13],"to":[14,28,41,69,86,108,120,148],"be":[15],"more":[16],"effective":[17],"for":[18],"solving":[19],"unimodal,":[20,140],"multimodal,":[21,141],"and":[22,73,90,142,172],"multidimensional":[23],"problems.":[25],"However,":[26],"similar":[27],"other":[29,173],"swarm":[30],"intelligence\u2010based":[31],"algorithms,":[32],"SSA":[33,51,171],"also":[34],"its":[36],"own":[37],"disadvantages.":[38],"In":[39],"order":[40,119],"get":[42],"better":[43],"global":[44,151],"convergence":[45],"ability,":[46],"an":[47,60],"improved":[48],"version":[49],"of":[50,63,76,92,96,113,126,154],"called":[52],"ISSA":[53,163],"proposed":[55,68,156],"in":[56,118],"this":[57],"paper.":[58],"Firstly,":[59],"adaptive":[61],"strategy":[62,102,133],"predator":[64],"presence":[65],"probability":[66],"balance":[70],"the":[71,77,88,93,110,122,127,150,155,169],"exploration":[72],"exploitation":[74],"capabilities":[75],"algorithm.":[78],"Secondly,":[79],"normal":[81],"cloud":[82],"model":[83],"introduced":[85],"describe":[87],"randomness":[89],"fuzziness":[91],"foraging":[94],"behavior":[95],"flying":[97,114],"squirrels.":[98],"Thirdly,":[99],"selection":[101],"between":[103],"successive":[104],"positions":[105],"incorporated":[107],"preserve":[109],"best":[111],"position":[112],"squirrel":[115],"individuals.":[116],"Finally,":[117],"enhance":[121],"local":[123],"ability":[125,153],"dimensional":[130],"enhancement":[132],"utilized.":[135],"32":[136],"benchmark":[137],"functions":[138,145],"including":[139],"CEC":[143],"2014":[144],"are":[146],"used":[147],"test":[149,159],"ISSA.":[157],"Experimental":[158],"results":[160],"indicate":[161],"that":[162],"provides":[164],"competitive":[165],"performance":[166],"compared":[167],"with":[168],"basic":[170],"four":[174],"well\u2010known":[175],"state\u2010of\u2010the\u2010art":[176],"algorithms.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":3}],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2019-07-12T00:00:00"}