{"id":"https://openalex.org/W2151965003","doi":"https://doi.org/10.1109/cec.2011.5949940","title":"Anarchic Society Optimization: A human-inspired method","display_name":"Anarchic Society Optimization: A human-inspired method","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2151965003","doi":"https://doi.org/10.1109/cec.2011.5949940","mag":"2151965003"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2011.5949940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2011.5949940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Congress of Evolutionary Computation (CEC)","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/A5045825801","display_name":"Amir Ahmadi\u2010Javid","orcid":"https://orcid.org/0000-0002-9132-6887"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"A. Ahmadi-Javid","raw_affiliation_strings":["Department of Industrial Engineering, Amirkabir University of Technology\uc2a0, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Amirkabir University of Technology\uc2a0, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5045825801"],"corresponding_institution_ids":["https://openalex.org/I158248296"],"apc_list":null,"apc_paid":null,"fwci":0.8552,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.80770858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2586","last_page":"2592"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9973999857902527,"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":0.9973999857902527,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9937000274658203,"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/T11031","display_name":"Game Theory and Applications","score":0.9800000190734863,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6862394213676453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5957217812538147},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.5763328671455383},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5581550598144531},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5422483682632446},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.48212456703186035},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.43331465125083923},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.4176284074783325},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.4160256087779999},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3736325204372406},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22316384315490723},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2025168240070343}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6862394213676453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5957217812538147},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.5763328671455383},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5581550598144531},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5422483682632446},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.48212456703186035},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.43331465125083923},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.4176284074783325},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.4160256087779999},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3736325204372406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22316384315490723},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2025168240070343},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2011.5949940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2011.5949940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Congress of Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1970329178","https://openalex.org/W2019270990","https://openalex.org/W2036768904","https://openalex.org/W2059208135","https://openalex.org/W2138913627","https://openalex.org/W2152195021","https://openalex.org/W2326740504","https://openalex.org/W2402846924"],"related_works":["https://openalex.org/W3172150420","https://openalex.org/W2107725657","https://openalex.org/W2992415251","https://openalex.org/W1934426788","https://openalex.org/W2073248645","https://openalex.org/W4386636688","https://openalex.org/W3212179065","https://openalex.org/W2184070258","https://openalex.org/W3087997050","https://openalex.org/W2348923905"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"Anarchic":[3],"Society":[4],"Optimization":[5,112],"(ASO),":[6],"which":[7,15,95,115,184],"is":[8,27,126,177,195],"inspired":[9],"by":[10],"a":[11,28,90,116,127,148,185,206],"social":[12],"grouping":[13],"in":[14,166],"members":[16,59],"behave":[17,40],"anarchically":[18],"to":[19,183,205],"improve":[20],"their":[21],"situations.":[22],"The":[23,53,152],"basis":[24],"of":[25,30,55,64,130,137],"ASO":[26,74,138,145,159,175,202],"group":[29],"individuals":[31],"who":[32],"are":[33],"fickle,":[34],"adventurous,":[35],"dislike":[36],"stability,":[37],"and":[38,80,103],"frequently":[39],"irrationally,":[41],"moving":[42],"toward":[43],"inferior":[44],"positions":[45],"they":[46],"have":[47],"visited":[48],"during":[49],"the":[50,62,76,135,157,167],"exploration":[51],"phase.":[52],"level":[54,63],"anarchic":[56,72],"behavior":[57],"among":[58,66],"intensifies":[60],"as":[61],"difference":[65],"members'":[67],"situations":[68],"increases.":[69],"Using":[70],"these":[71],"members,":[73],"explores":[75],"solution":[77],"space":[78],"perfectly":[79],"avoids":[81],"falling":[82],"into":[83],"local":[84],"optimum":[85,208],"traps.":[86],"First":[87],"we":[88,107,142],"present":[89],"unified":[91],"framework":[92],"for":[93,100,114,122,139,147,180],"ASO,":[94],"can":[96],"easily":[97],"be":[98],"used":[99],"both":[101],"continuous":[102,123],"discrete":[104,140],"problems.":[105],"Then,":[106],"show":[108,155],"that":[109,156,172,197],"Particle":[110],"Swarm":[111],"(PSO),":[113],"general":[117],"introduction":[118],"was":[119],"initially":[120],"implemented":[121],"optimization":[124],"problems,":[125],"special":[128],"case":[129],"this":[131],"framework.":[132],"To":[133],"evaluate":[134],"performance":[136],"optimization,":[141],"develop":[143],"an":[144,174,201],"algorithm":[146,160,176,189,203],"challenging":[149],"scheduling":[150],"problem.":[151],"numerical":[153],"results":[154],"proposed":[158],"significantly":[161],"outperforms":[162],"other":[163],"effective":[164],"algorithms":[165],"literature.":[168],"Our":[169],"study":[170],"indicates":[171],"developing":[173],"basically":[178],"straightforward":[179],"any":[181],"problem":[182],"PSO":[186],"or":[187],"Genetic":[188],"has":[190],"been":[191],"applied.":[192],"Finally,":[193],"it":[194],"shown":[196],"under":[198],"mild":[199],"conditions":[200],"converges":[204],"global":[207],"with":[209],"probability":[210],"one.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-02-22T13:39:03.778224","created_date":"2025-10-10T00:00:00"}
