{"id":"https://openalex.org/W2769602791","doi":"https://doi.org/10.1109/tevc.2017.2775211","title":"A Novel Class of Test Problems for Performance Evaluation of Niching Methods","display_name":"A Novel Class of Test Problems for Performance Evaluation of Niching Methods","publication_year":2017,"publication_date":"2017-11-20","ids":{"openalex":"https://openalex.org/W2769602791","doi":"https://doi.org/10.1109/tevc.2017.2775211","mag":"2769602791"},"language":"en","primary_location":{"id":"doi:10.1109/tevc.2017.2775211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2017.2775211","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-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/A5032711214","display_name":"Ali Ahrari","orcid":"https://orcid.org/0000-0001-7232-7967"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Ahrari","raw_affiliation_strings":["Department of Mechanical Engineering, Michigan State University, East Lansing, MI, USA"],"raw_orcid":"https://orcid.org/0000-0001-7232-7967","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088394271","display_name":"Kalyanmoy Deb","orcid":"https://orcid.org/0000-0001-7402-9939"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kalyanmoy Deb","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA"],"raw_orcid":"https://orcid.org/0000-0001-7402-9939","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":0.5981,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.77212207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"22","issue":"6","first_page":"909","last_page":"919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9970999956130981,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.9442305564880371},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6447685360908508},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6417681574821472},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6259725689888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5651590824127197},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5135548114776611},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4862910211086273},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.48524928092956543},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.4534466862678528},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31156572699546814},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07939594984054565}],"concepts":[{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.9442305564880371},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6447685360908508},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6417681574821472},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6259725689888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5651590824127197},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5135548114776611},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4862910211086273},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.48524928092956543},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.4534466862678528},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31156572699546814},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07939594984054565},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tevc.2017.2775211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2017.2775211","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7414076325","display_name":null,"funder_award_id":"DBI-0939454","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W180797010","https://openalex.org/W1425004674","https://openalex.org/W1492325323","https://openalex.org/W1492417045","https://openalex.org/W1499983649","https://openalex.org/W1503296932","https://openalex.org/W1572960541","https://openalex.org/W1585335425","https://openalex.org/W1585711251","https://openalex.org/W1717624869","https://openalex.org/W1965392777","https://openalex.org/W1968005908","https://openalex.org/W1985599680","https://openalex.org/W1998608446","https://openalex.org/W2012996711","https://openalex.org/W2014372644","https://openalex.org/W2021726697","https://openalex.org/W2025280025","https://openalex.org/W2027996967","https://openalex.org/W2041654463","https://openalex.org/W2042476863","https://openalex.org/W2054878539","https://openalex.org/W2068610075","https://openalex.org/W2071853901","https://openalex.org/W2085361024","https://openalex.org/W2094453630","https://openalex.org/W2096590200","https://openalex.org/W2099129608","https://openalex.org/W2100671879","https://openalex.org/W2102559904","https://openalex.org/W2104604585","https://openalex.org/W2110335153","https://openalex.org/W2112036188","https://openalex.org/W2119401655","https://openalex.org/W2124548165","https://openalex.org/W2126328232","https://openalex.org/W2126926002","https://openalex.org/W2131579134","https://openalex.org/W2132147811","https://openalex.org/W2132181343","https://openalex.org/W2137514952","https://openalex.org/W2137628623","https://openalex.org/W2152100799","https://openalex.org/W2159325678","https://openalex.org/W2161876146","https://openalex.org/W2165687335","https://openalex.org/W2170436854","https://openalex.org/W2174170216","https://openalex.org/W2208154600","https://openalex.org/W2215853505","https://openalex.org/W2295982081","https://openalex.org/W2338399048","https://openalex.org/W2527572108","https://openalex.org/W4387688680","https://openalex.org/W6607453073","https://openalex.org/W6629686014","https://openalex.org/W6634239536","https://openalex.org/W6634952865","https://openalex.org/W6678845729","https://openalex.org/W6679381669"],"related_works":["https://openalex.org/W2770764537","https://openalex.org/W2992877228","https://openalex.org/W4250124476","https://openalex.org/W2121922170","https://openalex.org/W3131312709","https://openalex.org/W2135119351","https://openalex.org/W54027447","https://openalex.org/W4210838092","https://openalex.org/W2100566702","https://openalex.org/W2753416958"],"abstract_inverted_index":{"This":[0,105],"paper":[1],"proposes":[2],"a":[3,29,50,159,191],"novel":[4],"procedure":[5,90],"for":[6,107],"generating":[7],"parametric":[8,121],"scalable":[9],"functions":[10,26,123,172,204,215],"with":[11,83,116],"diverse":[12],"properties":[13],"to":[14,27,74,99,175],"strengthen":[15],"numerical":[16,188],"evaluation":[17],"of":[18,41,52,64,111,134,145,152,178,197,223,231],"niching":[19,112,182,199,233],"methods.":[20,104],"It":[21],"combines":[22],"three":[23],"simple":[24],"basic":[25],"form":[28],"composite":[30,46,95,203,214],"multimodal":[31,75],"function,":[32],"in":[33,54,92,126,167,184,235],"which":[34,127,161],"the":[35,39,88,128,132,146,153,168,179,185,195,202,206,212,224],"function":[36,47,129],"parameter":[37,130],"controls":[38,131],"number":[40,133],"global":[42,55,81,118,135,147],"minima.":[43,119,136],"The":[44,187],"resultant":[45],"may":[48],"show":[49],"variety":[51],"challenges":[53],"optimization":[56],"such":[57,77],"as":[58,69,71,78],"high":[59],"condition,":[60],"correlation,":[61],"and":[62,143,205,228,239],"presence":[63],"many":[65,117,232],"undesirable":[66],"local":[67],"minima,":[68],"well":[70],"those":[72,100],"peculiar":[73],"optimization,":[76],"nonuniformly":[79],"distributed":[80],"minima":[82,148],"dissimilar":[84],"basin":[85,141],"sizes.":[86],"Moreover,":[87],"proposed":[89,125,154,213],"results":[91,189],"computationally":[93],"inexpensive":[94],"functions,":[96],"when":[97],"compared":[98],"generated":[101],"by":[102],"available":[103],"allows":[106],"benchmarking":[108],"long-term":[109],"success":[110],"methods":[113,183,200],"on":[114,139,201],"problems":[115,156],"Six":[120],"benchmark":[122],"are":[124,173],"Detailed":[137],"analysis":[138],"distribution,":[140],"shapes":[142],"sizes":[144],"is":[149],"provided.":[150],"One":[151],"test":[155,171,208],"involve":[157],"constraints,":[158],"matter":[160],"did":[162],"not":[163],"receive":[164],"much":[165],"attention":[166],"past.":[169],"These":[170],"employed":[174],"compare":[176],"some":[177],"most":[180],"successful":[181],"literature.":[186],"disclose":[190],"drastic":[192],"disparity":[193],"between":[194],"performance":[196],"different":[198],"existing":[207],"problems,":[209],"demonstrating":[210],"that":[211],"simulate":[216],"distinct":[217],"challenges.":[218],"Our":[219],"findings":[220],"highlight":[221],"importance":[222],"core":[225],"search":[226],"algorithm":[227],"challenge":[229],"suitability":[230],"strategies":[234],"more":[236],"complicated":[237],"landscapes":[238],"higher":[240],"dimensions.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
