{"id":"https://openalex.org/W2593487812","doi":"https://doi.org/10.1016/j.jcde.2017.02.005","title":"Chaotic grey wolf optimization algorithm for constrained optimization problems","display_name":"Chaotic grey wolf optimization algorithm for constrained optimization problems","publication_year":2017,"publication_date":"2017-03-07","ids":{"openalex":"https://openalex.org/W2593487812","doi":"https://doi.org/10.1016/j.jcde.2017.02.005","mag":"2593487812"},"language":"en","primary_location":{"id":"doi:10.1016/j.jcde.2017.02.005","doi":"https://doi.org/10.1016/j.jcde.2017.02.005","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.jcde.2017.02.005","pdf_url":null,"source":{"id":"https://openalex.org/S2485147958","display_name":"Journal of Computational Design and Engineering","issn_l":"2288-4300","issn":["2288-4300","2288-5048"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-b","jufo-1","oarl","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Design and Engineering","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://doi.org/10.1016/j.jcde.2017.02.005","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061563369","display_name":"Mehak Kohli","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1341847395","display_name":"DAV University","ror":"https://ror.org/04aenjr55","country_code":"IN","type":"education","lineage":["https://openalex.org/I1341847395"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mehak Kohli","raw_affiliation_strings":["DAV University, Jalandhar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DAV University, Jalandhar, India","institution_ids":["https://openalex.org/I1341847395"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041868654","display_name":"Sankalap Arora","orcid":"https://orcid.org/0000-0002-3676-4534","observed_orcids":["https://orcid.org/0000-0002-3676-4534"]},"institutions":[{"id":"https://openalex.org/I1341847395","display_name":"DAV University","ror":"https://ror.org/04aenjr55","country_code":"IN","type":"education","lineage":["https://openalex.org/I1341847395"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sankalap Arora","raw_affiliation_strings":["DAV University, Jalandhar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DAV University, Jalandhar, India","institution_ids":["https://openalex.org/I1341847395"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1341847395"],"apc_list":{"value":1650,"currency":"USD","value_usd":1650},"apc_paid":{"value":1650,"currency":"USD","value_usd":1650},"fwci":21.351,"has_fulltext":false,"cited_by_count":443,"citation_normalized_percentile":{"value":0.996076,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"5","issue":"4","first_page":"458","last_page":"472"},"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11115","display_name":"Topology Optimization in Engineering","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/grey-wolf-optimizer","display_name":"grey wolf optimizer","score":0.875},{"id":"https://openalex.org/keywords/chaotic-maps","display_name":"chaotic maps","score":0.8119999766349792},{"id":"https://openalex.org/keywords/constrained-optimization","display_name":"constrained optimization","score":0.9430000185966492},{"id":"https://openalex.org/keywords/metaheuristic-optimization","display_name":"metaheuristic optimization","score":0.8050000071525574},{"id":"https://openalex.org/keywords/global-convergence","display_name":"global convergence","score":0.5519999861717224},{"id":"https://openalex.org/keywords/parameter-tuning","display_name":"parameter tuning","score":0.6430000066757202},{"id":"https://openalex.org/keywords/engineering-design-optimization","display_name":"engineering design optimization","score":0.7409999966621399},{"id":"https://openalex.org/keywords/benchmark-functions","display_name":"benchmark functions","score":0.4429999887943268}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7185370922088623},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.6718491315841675},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6354833841323853},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6136069893836975},{"id":"https://openalex.org/C154982244","wikidata":"https://www.wikidata.org/wiki/Q5451844","display_name":"Firefly algorithm","level":3,"score":0.6128103137016296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5181882977485657},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.46414366364479065},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4150211215019226},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3116492033004761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14772066473960876},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.jcde.2017.02.005","doi":"https://doi.org/10.1016/j.jcde.2017.02.005","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.jcde.2017.02.005","pdf_url":null,"source":{"id":"https://openalex.org/S2485147958","display_name":"Journal of Computational Design and Engineering","issn_l":"2288-4300","issn":["2288-4300","2288-5048"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-b","jufo-1","oarl","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Design and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fc0e079428774530b02c208b99377b6c","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/fc0e079428774530b02c208b99377b6c","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Computational Design and Engineering, Vol 5, Iss 4, Pp 458-472 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.jcde.2017.02.005","doi":"https://doi.org/10.1016/j.jcde.2017.02.005","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.jcde.2017.02.005","pdf_url":null,"source":{"id":"https://openalex.org/S2485147958","display_name":"Journal of Computational Design and Engineering","issn_l":"2288-4300","issn":["2288-4300","2288-5048"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-b","jufo-1","oarl","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Design and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W35651078","https://openalex.org/W1444952417","https://openalex.org/W1527331442","https://openalex.org/W1540746572","https://openalex.org/W1597134548","https://openalex.org/W1606402766","https://openalex.org/W1614978733","https://openalex.org/W1680797894","https://openalex.org/W1698059316","https://openalex.org/W1955291487","https://openalex.org/W1968674232","https://openalex.org/W1968772601","https://openalex.org/W1970442252","https://openalex.org/W1972279253","https://openalex.org/W1973997930","https://openalex.org/W1975593599","https://openalex.org/W1981159109","https://openalex.org/W1984296381","https://openalex.org/W1989574099","https://openalex.org/W1990318222","https://openalex.org/W1999284878","https://openalex.org/W2001946563","https://openalex.org/W2003961265","https://openalex.org/W2007351764","https://openalex.org/W2009230739","https://openalex.org/W2012115555","https://openalex.org/W2017426530","https://openalex.org/W2027382431","https://openalex.org/W2029254187","https://openalex.org/W2031183907","https://openalex.org/W2034988449","https://openalex.org/W2037917527","https://openalex.org/W2040622309","https://openalex.org/W2043117900","https://openalex.org/W2051328446","https://openalex.org/W2052385998","https://openalex.org/W2057652484","https://openalex.org/W2060040920","https://openalex.org/W2061438946","https://openalex.org/W2065186919","https://openalex.org/W2067959852","https://openalex.org/W2072109526","https://openalex.org/W2086622126","https://openalex.org/W2093505886","https://openalex.org/W2093850054","https://openalex.org/W2102343719","https://openalex.org/W2104324382","https://openalex.org/W2117640392","https://openalex.org/W2121780193","https://openalex.org/W2134816084","https://openalex.org/W2143055330","https://openalex.org/W2145479420","https://openalex.org/W2147271386","https://openalex.org/W2149815769","https://openalex.org/W2156908589","https://openalex.org/W2165299997","https://openalex.org/W2237685256","https://openalex.org/W2248269286","https://openalex.org/W2274556457","https://openalex.org/W2290883490","https://openalex.org/W2306115793","https://openalex.org/W2333617235","https://openalex.org/W2337271819","https://openalex.org/W2402846924","https://openalex.org/W2460724340","https://openalex.org/W2475947838","https://openalex.org/W2481001901","https://openalex.org/W2482885515","https://openalex.org/W2506842666","https://openalex.org/W2518915060","https://openalex.org/W2613176274","https://openalex.org/W2728222255","https://openalex.org/W2898916015","https://openalex.org/W3100933494","https://openalex.org/W3139877687","https://openalex.org/W3157207671","https://openalex.org/W4243661273","https://openalex.org/W4246849239"],"related_works":["https://openalex.org/W3096513172","https://openalex.org/W4388002440","https://openalex.org/W3165327089","https://openalex.org/W7118243842","https://openalex.org/W2641490890","https://openalex.org/W3046703371","https://openalex.org/W4244028673","https://openalex.org/W2920376004","https://openalex.org/W2792443722","https://openalex.org/W2905319558"],"abstract_inverted_index":{"Abstract":[0],"The":[1,89,104,185],"Grey":[2],"Wolf":[3],"Optimizer":[4],"(GWO)":[5],"algorithm":[6,29,94,167],"is":[7,67,95,168,188],"a":[8],"novel":[9],"meta-heuristic,":[10],"inspired":[11],"from":[12],"the":[13,23,27,31,59,64,70,92,141,158,166],"social":[14],"hunting":[15],"behavior":[16],"of":[17,33,91,162,165],"grey":[18],"wolves.":[19],"This":[20],"paper":[21],"introduces":[22],"chaos":[24],"theory":[25],"into":[26],"GWO":[28,66,72,142,146],"with":[30,51,69,108,119,125],"aim":[32],"accelerating":[34],"its":[35],"global":[36,148],"convergence":[37],"speed.":[38],"Firstly,":[39],"detailed":[40],"studies":[41],"are":[42],"carried":[43],"out":[44,58],"on":[45,170],"thirteen":[46],"standard":[47,117],"constrained":[48,100,132,172],"benchmark":[49,173],"problems":[50],"ten":[52],"different":[53],"chaotic":[54,65,111,151],"maps":[55,152],"to":[56,131,140,143,156],"find":[57],"most":[60],"efficient":[61],"one.":[62],"Then,":[63],"compared":[68],"traditional":[71],"and":[73,84,128],"some":[74,192],"other":[75,126,181],"popular":[76],"meta-heuristics":[77],"viz.":[78],"Firefly":[79],"Algorithm,":[80],"Flower":[81],"Pollination":[82],"Algorithm":[83],"Particle":[85],"Swarm":[86],"Optimization":[87],"algorithm.":[88],"performance":[90,122,179],"CGWO":[93,113,187],"also":[96,189],"validated":[97],"using":[98],"five":[99],"engineering":[101,193],"design":[102,194],"problems.":[103,134],"results":[105],"showed":[106],"that":[107],"an":[109],"appropriate":[110],"map,":[112],"can":[114],"clearly":[115],"outperform":[116],"GWO,":[118],"very":[120],"good":[121],"in":[123,129],"comparison":[124],"algorithms":[127],"application":[130],"optimization":[133,183],"Highlights":[135],"Chaos":[136],"has":[137],"been":[138,154],"introduced":[139],"develop":[144],"Chaotic":[145],"for":[147,191],"optimization.":[149],"Ten":[150],"have":[153],"investigated":[155],"tune":[157],"key":[159],"parameter":[160],"\u2018a\u2019,":[161],"GWO.":[163],"Effectiveness":[164],"tested":[169],"many":[171],"functions.":[174],"Results":[175],"show":[176],"CGWO's":[177],"better":[178],"over":[180],"nature-inspired":[182],"methods.":[184],"proposed":[186],"used":[190],"applications.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":22},{"year":2025,"cited_by_count":34},{"year":2024,"cited_by_count":40},{"year":2023,"cited_by_count":69},{"year":2022,"cited_by_count":70},{"year":2021,"cited_by_count":60},{"year":2020,"cited_by_count":73},{"year":2019,"cited_by_count":45},{"year":2018,"cited_by_count":22},{"year":2017,"cited_by_count":8}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2017-03-16T00:00:00"}