{"id":"https://openalex.org/W2825570816","doi":"https://doi.org/10.1145/3205651.3208257","title":"Evolving benchmark functions using kruskal-wallis test","display_name":"Evolving benchmark functions using kruskal-wallis test","publication_year":2018,"publication_date":"2018-07-06","ids":{"openalex":"https://openalex.org/W2825570816","doi":"https://doi.org/10.1145/3205651.3208257","mag":"2825570816"},"language":"en","primary_location":{"id":"doi:10.1145/3205651.3208257","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3205651.3208257","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074413224","display_name":"Yang Lou","orcid":"https://orcid.org/0000-0002-8839-8898"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yang Lou","raw_affiliation_strings":["City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091162383","display_name":"Shiu Yin Yuen","orcid":"https://orcid.org/0000-0002-5889-8808"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shiu Yin Yuen","raw_affiliation_strings":["City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024633466","display_name":"Guanrong Chen","orcid":"https://orcid.org/0000-0003-1381-7418"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Guanrong Chen","raw_affiliation_strings":["City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1337","last_page":"1341"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9995999932289124,"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":0.9994000196456909,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8829954266548157},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.749000072479248},{"id":"https://openalex.org/keywords/test-suite","display_name":"Test suite","score":0.7479567527770996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7292183637619019},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.6937325596809387},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5562289357185364},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.47155141830444336},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43460094928741455},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.40736979246139526},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3984741270542145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36458975076675415},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3305465579032898},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20078405737876892}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8829954266548157},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.749000072479248},{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.7479567527770996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7292183637619019},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.6937325596809387},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5562289357185364},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.47155141830444336},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43460094928741455},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.40736979246139526},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3984741270542145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36458975076675415},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3305465579032898},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20078405737876892},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3205651.3208257","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3205651.3208257","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1595159159","https://openalex.org/W1717624869","https://openalex.org/W1967715425","https://openalex.org/W1974828111","https://openalex.org/W1988731151","https://openalex.org/W1997600725","https://openalex.org/W2041282815","https://openalex.org/W2041654463","https://openalex.org/W2071948161","https://openalex.org/W2082345219","https://openalex.org/W2092993939","https://openalex.org/W2100012833","https://openalex.org/W2109881441","https://openalex.org/W2117250519","https://openalex.org/W2126328232","https://openalex.org/W2141684176","https://openalex.org/W2143560894","https://openalex.org/W2150484508","https://openalex.org/W2151554678","https://openalex.org/W2768115058","https://openalex.org/W2801693842"],"related_works":["https://openalex.org/W1485837041","https://openalex.org/W3204955359","https://openalex.org/W2801693842","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W1598160211","https://openalex.org/W4253521920","https://openalex.org/W2179621094","https://openalex.org/W2067499928","https://openalex.org/W1524028411"],"abstract_inverted_index":{"Evolutionary":[0],"algorithms":[1],"are":[2,59,134],"cost-effective":[3],"for":[4,156,172],"solving":[5],"real-world":[6,23],"optimization":[7],"problems,":[8],"such":[9],"as":[10],"NP-hard":[11],"and":[12,160,169,176],"black-box":[13],"problems.":[14,38],"Before":[15],"an":[16,87,99,118,146],"evolutionary":[17,88,173],"algorithm":[18,30,100,119,174],"can":[19,47,83],"be":[20,84],"put":[21],"into":[22],"applications,":[24],"it":[25],"is":[26,53,101],"desirable":[27],"that":[28,117],"the":[29,40,50,63,104,121],"was":[31],"tested":[32],"on":[33,45,62,125],"a":[34,67,95,109,153,164],"number":[35],"of":[36,69,94,139,166],"benchmark":[37,51,148],"On":[39],"other":[41],"hand,":[42],"performance":[43,64],"measure":[44],"benchmarks":[46,58],"reflect":[48],"if":[49],"suite":[52],"representative.":[54],"In":[55],"this":[56,140],"paper,":[57],"generated":[60,85],"based":[61],"comparison":[65],"among":[66],"set":[68,165],"established":[70],"algorithms.":[71],"For":[72],"each":[73],"algorithm,":[74],"its":[75,126],"uniquely":[76,79,127],"easy":[77,128],"(or":[78],"difficult)":[80],"problem":[81,96],"instances":[82],"by":[86,103,108],"algorithm.":[89],"The":[90,131],"unique":[91],"difficulty":[92],"nature":[93],"instance":[97],"to":[98,144,151,162],"ensured":[102],"Kruskal-Wallis":[105],"H-test,":[106],"assisted":[107],"hierarchical":[110],"fitness":[111],"assignment":[112],"method.":[113],"Experimental":[114],"results":[115,133],"show":[116],"performs":[120],"best":[122],"(worst)":[123],"consistently":[124],"(difficult)":[129],"problem.":[130],"testing":[132,170],"repeatable.":[135],"Some":[136],"possible":[137],"applications":[138],"work":[141],"include:":[142],"1)":[143],"compose":[145],"alternative":[147],"suite;":[149],"2)":[150],"give":[152],"novel":[154,158],"method":[155],"accessing":[157],"algorithms;":[159],"3)":[161],"generate":[163],"meaningful":[167],"training":[168],"problems":[171],"selectors":[175],"portfolios.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}