{"id":"https://openalex.org/W3216643743","doi":"https://doi.org/10.1109/access.2021.3130933","title":"A Weighted Chimp Optimization Algorithm","display_name":"A Weighted Chimp Optimization Algorithm","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3216643743","doi":"https://doi.org/10.1109/access.2021.3130933","mag":"3216643743"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3130933","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3130933","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09627650.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/ielx7/6287639/6514899/09627650.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066661344","display_name":"Mohammad Khishe","orcid":"https://orcid.org/0000-0002-1024-8822"},"institutions":[{"id":"https://openalex.org/I2800596343","display_name":"Imam Khomeini Hospital","ror":"https://ror.org/05v2x6b69","country_code":"IR","type":"healthcare","lineage":["https://openalex.org/I2800596343","https://openalex.org/I70640408"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mohammad Khishe","raw_affiliation_strings":["Department of Electrical Engineering, Imam Khomeini Naval University of Noshahr, Nowshahr, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Imam Khomeini Naval University of Noshahr, Nowshahr, Iran","institution_ids":["https://openalex.org/I2800596343"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000848918","display_name":"M. Nezhadshahbodaghi","orcid":"https://orcid.org/0000-0002-6581-0122"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mohsen Nezhadshahbodaghi","raw_affiliation_strings":["ETSI Telecomunicaci\u00f3n, Universidad Politécnica de Madrid (UPM), Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"ETSI Telecomunicaci\u00f3n, Universidad Politécnica de Madrid (UPM), Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051565697","display_name":"M. R. Mosavi","orcid":"https://orcid.org/0000-0002-2389-644X"},"institutions":[{"id":"https://openalex.org/I67009956","display_name":"Iran University of Science and Technology","ror":"https://ror.org/01jw2p796","country_code":"IR","type":"education","lineage":["https://openalex.org/I67009956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Reza Mosavi","raw_affiliation_strings":["Department of Electrical Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran, Iran","Department of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran, Iran","institution_ids":["https://openalex.org/I67009956"]},{"raw_affiliation_string":"Department of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran","institution_ids":["https://openalex.org/I67009956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088729727","display_name":"Diego Mart\u00edn","orcid":"https://orcid.org/0000-0001-8810-0695"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Diego Martin","raw_affiliation_strings":["ETSI Telecomunicaci\u00f3n, Universidad Politécnica de Madrid (UPM), Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"ETSI Telecomunicaci\u00f3n, Universidad Politécnica de Madrid (UPM), Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066661344"],"corresponding_institution_ids":["https://openalex.org/I2800596343"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":10.6371,"has_fulltext":true,"cited_by_count":105,"citation_normalized_percentile":{"value":0.9862978,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"9","issue":null,"first_page":"158508","last_page":"158539"},"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":0.9919999837875366,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6659320592880249},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.644097626209259},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5769935846328735},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5730788707733154},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5723444223403931},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5532851219177246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5342862606048584},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.529982328414917},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4791916608810425},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4702761471271515},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.45690882205963135},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.45477694272994995},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4203767478466034},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.4137570261955261},{"id":"https://openalex.org/keywords/continuous-optimization","display_name":"Continuous optimization","score":0.4123450517654419},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.4112217128276825},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.39441758394241333},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.33883944153785706},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3193497955799103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20365622639656067}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6659320592880249},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.644097626209259},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5769935846328735},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5730788707733154},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5723444223403931},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5532851219177246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5342862606048584},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.529982328414917},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4791916608810425},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4702761471271515},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.45690882205963135},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.45477694272994995},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4203767478466034},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.4137570261955261},{"id":"https://openalex.org/C92995354","wikidata":"https://www.wikidata.org/wiki/Q5165499","display_name":"Continuous optimization","level":4,"score":0.4123450517654419},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.4112217128276825},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.39441758394241333},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.33883944153785706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3193497955799103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20365622639656067},{"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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/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.2021.3130933","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3130933","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09627650.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:cb827516740c4503bafa485a7e1a3c1a","is_oa":true,"landing_page_url":"https://doaj.org/article/cb827516740c4503bafa485a7e1a3c1a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 9, Pp 158508-158539 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3130933","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3130933","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09627650.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":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3216643743.pdf","grobid_xml":"https://content.openalex.org/works/W3216643743.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W414544266","https://openalex.org/W642052887","https://openalex.org/W1867852230","https://openalex.org/W2004133169","https://openalex.org/W2061438946","https://openalex.org/W2072955302","https://openalex.org/W2096166399","https://openalex.org/W2151554678","https://openalex.org/W2156262647","https://openalex.org/W2168081761","https://openalex.org/W2232317135","https://openalex.org/W2749546756","https://openalex.org/W2791241178","https://openalex.org/W2915156341","https://openalex.org/W2924600982","https://openalex.org/W2933860896","https://openalex.org/W3001290849","https://openalex.org/W3007040893","https://openalex.org/W3018215981","https://openalex.org/W3038015811","https://openalex.org/W3084182359","https://openalex.org/W3091484551","https://openalex.org/W3114319482","https://openalex.org/W3123888838","https://openalex.org/W3125777846","https://openalex.org/W3140564856","https://openalex.org/W3157821078","https://openalex.org/W3163903840","https://openalex.org/W3172425741","https://openalex.org/W3185076117","https://openalex.org/W3197094379","https://openalex.org/W4250503569","https://openalex.org/W4252684946","https://openalex.org/W4292083457","https://openalex.org/W6759250249"],"related_works":["https://openalex.org/W3038748417","https://openalex.org/W2356516493","https://openalex.org/W2389745779","https://openalex.org/W3120571876","https://openalex.org/W2353411923","https://openalex.org/W4313907631","https://openalex.org/W2368641303","https://openalex.org/W2133172786","https://openalex.org/W2019585418","https://openalex.org/W4283079406"],"abstract_inverted_index":{"These":[0],"days,":[1],"a":[2,49,90,147],"sizable":[3],"number":[4],"of":[5,21,150,167,169,185,201,235,240],"meta-heuristic":[6,27],"algorithms":[7,87],"are":[8,258],"utilized":[9],"to":[10,54,73,95,137,161,193,250],"address":[11],"many":[12],"problems":[13],"with":[14],"numerous":[15],"variables":[16],"and":[17,39,69,83,99,108,154,165,211,220,247],"huge":[18],"complexity.":[19],"One":[20],"the":[22,30,81,104,114,121,142,163,170,176,182,199,202,229,238,254],"most":[23],"popular":[24],"swarm":[25,122],"intelligence-based":[26,123],"methods":[28,252],"is":[29,88,93,110,118,132,141,159,179,215],"chimp":[31,51,85,128,172,204],"optimization":[32,52,62,86,129,173,205,210,223],"algorithm":[33,53,130,178,206,231],"inspired":[34],"by":[35,217],"chimps\u2019":[36],"individual":[37],"intelligence":[38],"sexual":[40],"motivation":[41],"in":[42,59,113,120,134,207,233,243,253],"their":[43],"group":[44],"hunting.":[45],"This":[46],"paper":[47],"proposes":[48],"weighted":[50,82,127,171,203],"tackle":[55],"two":[56],"main":[57,78],"issues":[58],"large-scale":[60,208],"numerical":[61,209],"problems,":[63,213],"such":[64],"as":[65],"low":[66],"convergence":[67,97,236],"speed":[68,98],"local":[70,101,244],"optima":[71],"trapping":[72],"solve":[74],"high-dimensional":[75,219],"problems.":[76,224],"The":[77,125,225],"difference":[79],"between":[80,106],"standard":[84],"that":[89,117,139,228],"position-weighted":[91],"equation":[92],"offered":[94],"enhance":[96],"avoid":[100],"optima.":[102],"Moreover,":[103],"balance":[105],"exploration":[107],"exploitation":[109,248],"carried":[111],"out":[112],"proposed":[115,177],"method":[116,131],"crucial":[119],"algorithms.":[124],"presented":[126],"evaluated":[133],"different":[135],"conditions":[136],"prove":[138],"it":[140,214],"best.":[143],"For":[144],"this":[145],"purpose,":[146],"classical":[148],"set":[149],"30":[151],"unimodal,":[152],"multimodal,":[153],"fixed-dimension":[155],"multimodal":[156],"benchmark":[157,188],"functions":[158],"applied":[160],"investigate":[162],"pros":[164],"cons":[166],"characteristics":[168],"algorithm.":[174],"Besides,":[175],"tested":[180],"on":[181,197],"IEEE":[183],"congress":[184],"evolutionary":[186],"computation":[187],"test":[189],"functions.":[190],"In":[191],"order":[192],"shed":[194],"more":[195],"light":[196],"probing":[198],"performance":[200],"real-world":[212,222],"examined":[216],"13":[218],"ten":[221],"results":[226],"show":[227],"suggested":[230],"outperforms":[232],"terms":[234],"speed,":[237],"probability":[239],"getting":[241],"stuck":[242],"minimums,":[245],"exploration,":[246],"compared":[249],"state-of-the-art":[251],"literature.":[255],"Source":[256],"codes":[257],"publicly":[259],"available":[260],"at":[261],"https://se.mathworks.com/matlabcentral/fileexchange/99344-a-weighted-chimp-optimization-algorithm.":[262]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":26}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}