{"id":"https://openalex.org/W2963434450","doi":"https://doi.org/10.1109/isda.2013.6920744","title":"Significance relations for the benchmarking of meta-heuristic algorithms","display_name":"Significance relations for the benchmarking of meta-heuristic algorithms","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2963434450","doi":"https://doi.org/10.1109/isda.2013.6920744","mag":"2963434450"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2013.6920744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2013.6920744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 13th International Conference on Intellient Systems Design and Applications","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/A5109235894","display_name":"Mario K\u00f6ppen","orcid":null},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Mario Koppen","raw_affiliation_strings":["Computer Science and Engineering Department, Kyushu Institute of Technology, Iizuka, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Kyushu Institute of Technology, Iizuka, Fukuoka, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102967261","display_name":"Kei Ohnishi","orcid":"https://orcid.org/0000-0001-7965-4135"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kei Ohnishi","raw_affiliation_strings":["Computer Science and Engineering Department, Kyushu Institute of Technology, Iizuka, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Kyushu Institute of Technology, Iizuka, Fukuoka, Japan","institution_ids":["https://openalex.org/I207014233"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109235894"],"corresponding_institution_ids":["https://openalex.org/I207014233"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30995176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"253","last_page":"258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998000264167786,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9980999827384949,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/wilcoxon-signed-rank-test","display_name":"Wilcoxon signed-rank test","score":0.7177050709724426},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6862137913703918},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6712117195129395},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6479831337928772},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6415846347808838},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6322211623191833},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5916951298713684},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5407713651657104},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5395085215568542},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5057110786437988},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.4784676730632782},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.425142765045166},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.41854071617126465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3754779100418091},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32975250482559204},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2834582030773163},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26726657152175903},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.263827383518219},{"id":"https://openalex.org/keywords/mann\u2013whitney-u-test","display_name":"Mann\u2013Whitney U test","score":0.08267468214035034}],"concepts":[{"id":"https://openalex.org/C206041023","wikidata":"https://www.wikidata.org/wiki/Q1751970","display_name":"Wilcoxon signed-rank test","level":3,"score":0.7177050709724426},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6862137913703918},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6712117195129395},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6479831337928772},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6415846347808838},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6322211623191833},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5916951298713684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5407713651657104},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5395085215568542},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5057110786437988},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.4784676730632782},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.425142765045166},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.41854071617126465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3754779100418091},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32975250482559204},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2834582030773163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26726657152175903},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.263827383518219},{"id":"https://openalex.org/C12868164","wikidata":"https://www.wikidata.org/wiki/Q1424533","display_name":"Mann\u2013Whitney U test","level":2,"score":0.08267468214035034},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isda.2013.6920744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2013.6920744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 13th International Conference on Intellient Systems Design and Applications","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":10,"referenced_works":["https://openalex.org/W1561029587","https://openalex.org/W1608470640","https://openalex.org/W1978460556","https://openalex.org/W1979234153","https://openalex.org/W2076224602","https://openalex.org/W2132181343","https://openalex.org/W2151554678","https://openalex.org/W2156773695","https://openalex.org/W3022254642","https://openalex.org/W7030052499"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W3160516639"],"abstract_inverted_index":{"The":[0,104,119],"experimental":[1],"analysis":[2],"of":[3,19,32,34,58,77,91,99,102,112],"meta-heuristic":[4],"algorithm":[5,20,154],"performance":[6,13,27,131,155],"is":[7,106,123],"usually":[8],"based":[9,124],"on":[10,70,108,125],"comparing":[11],"average":[12],"metric":[14,36],"values":[15],"over":[16],"a":[17,35,52,72,92,100],"set":[18,101],"instances.":[21],"When":[22],"algorithms":[23],"getting":[24],"tight":[25],"in":[26],"gains,":[28,132],"the":[29,45,56,78,89,109,135,141,147],"additional":[30],"consideration":[31],"significance":[33,94,120],"improvement":[37],"comes":[38],"into":[39],"play.":[40],"However,":[41],"from":[42,48],"this":[43,59],"moment":[44],"comparison":[46],"changes":[47],"an":[49],"absolute":[50],"to":[51,134],"relative":[53,130],"mode.":[54],"Here":[55],"implications":[57],"paradigm":[60],"shift":[61],"are":[62,66],"investigated.":[63],"Significance":[64],"relations":[65],"formally":[67],"established.":[68],"Based":[69],"this,":[71],"trade-off":[73],"between":[74],"increasing":[75],"cycle-freeness":[76],"relation":[79,121],"and":[80,96],"small":[81],"maximum":[82],"sets":[83],"can":[84,156],"be":[85,157],"identified,":[86],"allowing":[87],"for":[88,129,153],"selection":[90],"proper":[93],"level":[95],"resulting":[97],"ranking":[98,127],"algorithms.":[103],"procedure":[105],"exemplified":[107],"CEC'05":[110,149],"benchmark":[111],"real":[113],"parameter":[114],"single":[115],"objective":[116],"optimization":[117],"problems.":[118],"here":[122],"awarding":[126],"points":[128],"similar":[133],"Borda":[136],"count":[137],"voting":[138],"method":[139],"or":[140],"Wilcoxon":[142],"signed":[143],"rank":[144],"test.":[145],"In":[146],"particular":[148],"case,":[150],"five":[151],"ranks":[152],"clearly":[158],"identified.":[159]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}