{"id":"https://openalex.org/W2039831051","doi":"https://doi.org/10.1109/isda.2014.7066253","title":"ACO for continuous function optimization: A performance analysis","display_name":"ACO for continuous function optimization: A performance analysis","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2039831051","doi":"https://doi.org/10.1109/isda.2014.7066253","mag":"2039831051"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2014.7066253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2014.7066253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 14th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1707.01812","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Varun Kumar Ojha","orcid":null},"institutions":[{"id":"https://openalex.org/I187293425","display_name":"University of Ostrava","ror":"https://ror.org/00pyqav47","country_code":"CZ","type":"education","lineage":["https://openalex.org/I187293425"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Varun Kumar Ojha","raw_affiliation_strings":["IT4 Innovations, University of Ostrava, Ostrava, Czech Republic"],"affiliations":[{"raw_affiliation_string":"IT4 Innovations, University of Ostrava, Ostrava, Czech Republic","institution_ids":["https://openalex.org/I187293425"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ajith Abraham","orcid":null},"institutions":[{"id":"https://openalex.org/I187293425","display_name":"University of Ostrava","ror":"https://ror.org/00pyqav47","country_code":"CZ","type":"education","lineage":["https://openalex.org/I187293425"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Ajith Abraham","raw_affiliation_strings":["IT4 Innovations, University of Ostrava, Ostrava, Czech Republic"],"affiliations":[{"raw_affiliation_string":"IT4 Innovations, University of Ostrava, Ostrava, Czech Republic","institution_ids":["https://openalex.org/I187293425"]}]},{"author_position":"last","author":{"id":null,"display_name":"Vaclav Snasel","orcid":null},"institutions":[{"id":"https://openalex.org/I187293425","display_name":"University of Ostrava","ror":"https://ror.org/00pyqav47","country_code":"CZ","type":"education","lineage":["https://openalex.org/I187293425"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Vaclav Snasel","raw_affiliation_strings":["IT4 Innovations, University of Ostrava, Ostrava, Czech Republic"],"affiliations":[{"raw_affiliation_string":"IT4 Innovations, University of Ostrava, Ostrava, Czech Republic","institution_ids":["https://openalex.org/I187293425"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I187293425"],"apc_list":null,"apc_paid":null,"fwci":1.4723,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.82305773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11697","display_name":"Numerical Methods and Algorithms","score":0.9945999979972839,"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.9945999979972839,"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":0.9847999811172485,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.6115000247955322},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5800999999046326},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5157999992370605},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.42899999022483826},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.39640000462532043},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.37630000710487366},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.3709000051021576},{"id":"https://openalex.org/keywords/fitness-proportionate-selection","display_name":"Fitness proportionate selection","score":0.3517000079154968}],"concepts":[{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.6115000247955322},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5995000004768372},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5800999999046326},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5157999992370605},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.42899999022483826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4174000024795532},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.39640000462532043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3946000039577484},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.37630000710487366},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.3709000051021576},{"id":"https://openalex.org/C99701942","wikidata":"https://www.wikidata.org/wiki/Q5455479","display_name":"Fitness proportionate selection","level":4,"score":0.3517000079154968},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.34150001406669617},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.33090001344680786},{"id":"https://openalex.org/C2985420695","wikidata":"https://www.wikidata.org/wiki/Q175199","display_name":"Population variance","level":3,"score":0.32010000944137573},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3070000112056732},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3018999993801117},{"id":"https://openalex.org/C60891933","wikidata":"https://www.wikidata.org/wiki/Q796575","display_name":"Ant colony","level":3,"score":0.2978000044822693},{"id":"https://openalex.org/C2777767291","wikidata":"https://www.wikidata.org/wiki/Q1080291","display_name":"Sizing","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2766000032424927},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2721000015735626},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27059999108314514},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C165287380","wikidata":"https://www.wikidata.org/wiki/Q2916569","display_name":"Foraging","level":2,"score":0.2556999921798706}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isda.2014.7066253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2014.7066253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 14th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1707.01812","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1707.01812","pdf_url":"https://arxiv.org/pdf/1707.01812","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1707.01812","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1707.01812","pdf_url":"https://arxiv.org/pdf/1707.01812","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1998674867","https://openalex.org/W2022290342","https://openalex.org/W2070448096","https://openalex.org/W2072245049","https://openalex.org/W2107941094","https://openalex.org/W2109364787","https://openalex.org/W2118051273","https://openalex.org/W2124253297","https://openalex.org/W2137340504","https://openalex.org/W2151554678","https://openalex.org/W2154929945","https://openalex.org/W2165301864","https://openalex.org/W6643856013","https://openalex.org/W6684863256"],"related_works":[],"abstract_inverted_index":{"The":[0,26],"performance":[1,22,75,104,135,166],"of":[2,14,23,41,54,64,71,77,92,105,121,167],"the":[3,15,21,38,42,48,52,65,78,93,97,103,106,119,125,128,144,147,152,165,168],"meta-heuristic":[4,34,162],"algorithms":[5],"often":[6],"depends":[7,50],"on":[8,51],"their":[9],"parameter":[10],"settings.":[11],"Appropriate":[12],"tuning":[13],"underlying":[16,79],"parameters":[17,80],"can":[18],"drastically":[19],"improve":[20],"a":[24,31,122],"meta-heuristic.":[25],"Ant":[27],"Colony":[28],"Optimization":[29],"(ACO),":[30],"population":[32],"based":[33],"algorithm":[35],"inspired":[36],"by":[37,58],"foraging":[39],"behavior":[40],"ants,":[43],"is":[44,141,149],"no":[45],"different.":[46],"Fundamentally,":[47],"ACO":[49,94,107,148,159,170],"construction":[53],"new":[55],"solutions,":[56],"variable":[57,59],"basis":[60],"using":[61],"Gaussian":[62],"sampling":[63],"selected":[66],"variables":[67],"from":[68,143],"an":[69],"archive":[70],"solutions.":[72],"A":[73],"comprehensive":[74],"analysis":[76,145,156],"such":[81],"as:":[82],"selection":[83,120],"strategy,":[84],"distance":[85],"measure":[86],"metric":[87,132],"and":[88,115,160],"pheromone":[89],"evaporation":[90,153],"rate":[91],"suggests":[95],"that":[96,146,164],"Roulette":[98],"Wheel":[99],"Selection":[100],"strategy":[101],"enhances":[102],"due":[108],"to":[109,112],"its":[110,172],"ability":[111],"provide":[113],"non-uniformity":[114],"adequate":[116],"diversity":[117],"in":[118],"solution.":[123],"On":[124],"other":[126,137,161],"hand,":[127],"Squared":[129],"Euclidean":[130],"distance-measure":[131,138],"offers":[133],"better":[134],"than":[136],"metrics.":[139],"It":[140],"observed":[142],"sensitive":[150],"towards":[151],"rate.":[154],"Experimental":[155],"between":[157],"classical":[158],"suggested":[163],"well-tuned":[169],"surpasses":[171],"counterparts.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-06-24T00:00:00"}