{"id":"https://openalex.org/W3007040895","doi":"https://doi.org/10.1109/access.2020.2974498","title":"An Improved Chicken Swarm Optimization Algorithm and its Application in Robot Path Planning","display_name":"An Improved Chicken Swarm Optimization Algorithm and its Application in Robot Path Planning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3007040895","doi":"https://doi.org/10.1109/access.2020.2974498","mag":"3007040895"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2974498","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2974498","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09000844.pdf","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://ieeexplore.ieee.org/ielx7/6287639/8948470/09000844.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016422824","display_name":"Ximing Liang","orcid":"https://orcid.org/0000-0001-8771-3342"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ximing Liang","raw_affiliation_strings":["School of Science, Beijing University of Civil Engineering and Architecture, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8771-3342","affiliations":[{"raw_affiliation_string":"School of Science, Beijing University of Civil Engineering and Architecture, Beijing, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070075977","display_name":"Dechang Kou","orcid":"https://orcid.org/0000-0002-4089-9765"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dechang Kou","raw_affiliation_strings":["School of Science, Beijing University of Civil Engineering and Architecture, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4089-9765","affiliations":[{"raw_affiliation_string":"School of Science, Beijing University of Civil Engineering and Architecture, Beijing, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060426258","display_name":"Wen Long","orcid":"https://orcid.org/0000-0001-7407-2937"},"institutions":[{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Wen","raw_affiliation_strings":["Key Laboratory of Economics System Simulation, Guizhou University of Finance and Economics, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0001-7407-2937","affiliations":[{"raw_affiliation_string":"Key Laboratory of Economics System Simulation, Guizhou University of Finance and Economics, Guiyang, China","institution_ids":["https://openalex.org/I170172562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.8748,"has_fulltext":true,"cited_by_count":53,"citation_normalized_percentile":{"value":0.95900519,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"49543","last_page":"49550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998000264167786,"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":0.9998000264167786,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9887999892234802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6910327076911926},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6246595978736877},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.6211073994636536},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.5557255744934082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5521017909049988},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5262576341629028},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.48526355624198914},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.48439866304397583},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.4690905809402466},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.45273298025131226},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.43771272897720337},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.42067140340805054},{"id":"https://openalex.org/keywords/premature-convergence","display_name":"Premature convergence","score":0.4121130406856537},{"id":"https://openalex.org/keywords/firefly-algorithm","display_name":"Firefly algorithm","score":0.41026702523231506},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3627154529094696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30284032225608826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18259087204933167}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6910327076911926},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6246595978736877},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.6211073994636536},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.5557255744934082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5521017909049988},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5262576341629028},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.48526355624198914},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.48439866304397583},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.4690905809402466},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.45273298025131226},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.43771272897720337},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.42067140340805054},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.4121130406856537},{"id":"https://openalex.org/C154982244","wikidata":"https://www.wikidata.org/wiki/Q5451844","display_name":"Firefly algorithm","level":3,"score":0.41026702523231506},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3627154529094696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30284032225608826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18259087204933167},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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":2,"locations":[{"id":"doi:10.1109/access.2020.2974498","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2974498","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09000844.pdf","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:0f01020e7896426bb7726ce1968e5abc","is_oa":true,"landing_page_url":"https://doaj.org/article/0f01020e7896426bb7726ce1968e5abc","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 8, Pp 49543-49550 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2974498","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2974498","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09000844.pdf","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":[{"id":"https://openalex.org/G1131495142","display_name":null,"funder_award_id":"PXM 2013_014210_000173","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G521800515","display_name":null,"funder_award_id":"X18193","funder_id":"https://openalex.org/F4320325174","funder_display_name":"Beijing University of Civil Engineering and Architecture"},{"id":"https://openalex.org/G7833269095","display_name":null,"funder_award_id":"[2017]004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8664695388","display_name":"\u57fa\u4e8e\u6570\u636e\u7684\u6cb9\u85cf\u751f\u4ea7\u8fc7\u7a0b\u8bbe\u5b9a\u70b9\u4f18\u5316\u6a21\u578b\u53ca\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61463009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325174","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1849730171","https://openalex.org/W1868627087","https://openalex.org/W1977690098","https://openalex.org/W1985629565","https://openalex.org/W2114652055","https://openalex.org/W2152195021","https://openalex.org/W2372754308","https://openalex.org/W2543580944","https://openalex.org/W2555351825","https://openalex.org/W2564590226","https://openalex.org/W2565375852","https://openalex.org/W2602305116","https://openalex.org/W2963103847","https://openalex.org/W6629610141"],"related_works":["https://openalex.org/W4210824982","https://openalex.org/W3183905066","https://openalex.org/W2042389409","https://openalex.org/W2363751782","https://openalex.org/W2113650225","https://openalex.org/W3097546498","https://openalex.org/W2044587647","https://openalex.org/W4230527540","https://openalex.org/W2890707561","https://openalex.org/W2968802284"],"abstract_inverted_index":{"Chicken":[0],"swarm":[1,49,144,150],"optimization":[2,11,20,50,145,151],"(CSO)":[3],"algorithm":[4,26,51,87,155],"is":[5,53,70,100,129],"one":[6],"of":[7,84,91,118],"very":[8],"effective":[9],"intelligence":[10],"algorithms,":[12],"which":[13,36,78,108],"has":[14,156,166],"good":[15],"performance":[16],"in":[17,30,57,72,102,170],"solving":[18],"global":[19],"problems":[21],"(GOPs).":[22],"However,":[23],"the":[24,38,73,82,85,89,92,103,111,133,153,171],"CSO":[25],"performs":[27],"relatively":[28],"poorly":[29],"complex":[31],"GOPs":[32],"for":[33,162],"some":[34],"weaknesses,":[35],"results":[37,138],"iteration":[39],"easily":[40],"fall":[41],"into":[42],"a":[43,95,124],"local":[44],"minimum.":[45],"An":[46],"improved":[47,63],"chicken":[48,149],"(ICSO)":[52],"proposed":[54,86],"and":[55,88,123,147,160,165],"applied":[56],"robot":[58,125,172],"path":[59,173],"planning.":[60,174],"Firstly,":[61],"an":[62],"search":[64,168],"strategy":[65,99],"with":[66],"Levy":[67],"flight":[68],"characteristics":[69],"introduced":[71],"hen's":[74],"location":[75],"update":[76,106],"formula,":[77,107],"helps":[79],"to":[80,131,142],"increase":[81],"perturbation":[83],"diversity":[90],"population.":[93],"Secondly,":[94],"nonlinear":[96],"weight":[97],"reduction":[98],"added":[101],"chicken's":[104,112],"position":[105],"may":[109],"enhance":[110],"self-learning":[113],"ability.":[114],"Finally,":[115],"multiple":[116],"sets":[117],"unconstrained":[119,163],"functions":[120],"are":[121],"used":[122],"simulation":[126],"experimental":[127],"environment":[128],"established":[130],"test":[132],"ICSO":[134,154],"algorithm.":[135],"The":[136],"numerical":[137],"show":[139],"that,":[140],"comparing":[141],"particle":[143],"(PSO)":[146],"basic":[148],"(CSO),":[152],"better":[157],"convergence":[158],"accuracy":[159],"stability":[161],"optimization,":[164],"stronger":[167],"capability":[169]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
