{"id":"https://openalex.org/W2518948297","doi":"https://doi.org/10.1504/ijmor.2016.10000347","title":"Feature-wise differential evolution classifier with an OWA-based multi-distance aggregation","display_name":"Feature-wise differential evolution classifier with an OWA-based multi-distance aggregation","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2518948297","doi":"https://doi.org/10.1504/ijmor.2016.10000347","mag":"2518948297"},"language":"en","primary_location":{"id":"doi:10.1504/ijmor.2016.10000347","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijmor.2016.10000347","pdf_url":null,"source":{"id":"https://openalex.org/S135796719","display_name":"International Journal of Mathematics in Operational Research","issn_l":"1757-5850","issn":["1757-5850","1757-5869"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Mathematics in Operational Research","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/A5011515331","display_name":"Mikael Collan","orcid":"https://orcid.org/0000-0003-2976-2829"},"institutions":[{"id":"https://openalex.org/I63548447","display_name":"Lappeenranta-Lahti University of Technology","ror":"https://ror.org/0208vgz68","country_code":"FI","type":"education","lineage":["https://openalex.org/I63548447"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Mikael Collan","raw_affiliation_strings":["School of Business, Lappeenranta University of Technology, P.O. Box 20, FI-53851 Lappeenranta, Finland"],"affiliations":[{"raw_affiliation_string":"School of Business, Lappeenranta University of Technology, P.O. Box 20, FI-53851 Lappeenranta, Finland","institution_ids":["https://openalex.org/I63548447"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113661503","display_name":"Jouni Lampinen","orcid":null},"institutions":[{"id":"https://openalex.org/I79765343","display_name":"University of Vaasa","ror":"https://ror.org/03769b225","country_code":"FI","type":"education","lineage":["https://openalex.org/I79765343"]},{"id":"https://openalex.org/I142208455","display_name":"VSB - Technical University of Ostrava","ror":"https://ror.org/05x8mcb75","country_code":"CZ","type":"education","lineage":["https://openalex.org/I142208455"]}],"countries":["CZ","FI"],"is_corresponding":false,"raw_author_name":"Jouni Lampinen","raw_affiliation_strings":["Department of Computer Science, University of Vaasa, P.O. Box 700, FI-65101 Vaasa, Finland; Department of Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 70833 Ostrava-Poruba, Czech Republic","Department of Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 70833 Ostrava-Poruba, Czech Republic","Department of Computer Science, University of Vaasa, P.O. Box 700, FI-65101 Vaasa, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Vaasa, P.O. Box 700, FI-65101 Vaasa, Finland; Department of Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 70833 Ostrava-Poruba, Czech Republic","institution_ids":["https://openalex.org/I142208455"]},{"raw_affiliation_string":"Department of Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 70833 Ostrava-Poruba, Czech Republic","institution_ids":["https://openalex.org/I142208455"]},{"raw_affiliation_string":"Department of Computer Science, University of Vaasa, P.O. Box 700, FI-65101 Vaasa, Finland","institution_ids":["https://openalex.org/I79765343"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058213722","display_name":"Mario Fedrizzi","orcid":"https://orcid.org/0000-0001-5925-6674"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mario Fedrizzi","raw_affiliation_strings":["Department of Industrial Engineering, University of Trento, Via Mesiano 77, I-38123 Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, University of Trento, Via Mesiano 77, I-38123 Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069244594","display_name":"Pasi Luukka","orcid":"https://orcid.org/0000-0003-0124-6646"},"institutions":[{"id":"https://openalex.org/I63548447","display_name":"Lappeenranta-Lahti University of Technology","ror":"https://ror.org/0208vgz68","country_code":"FI","type":"education","lineage":["https://openalex.org/I63548447"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Pasi Luukka","raw_affiliation_strings":["School of Business, Lappeenranta University of Technology, P.O. Box 20, FI-53851 Lappeenranta, Finland"],"affiliations":[{"raw_affiliation_string":"School of Business, Lappeenranta University of Technology, P.O. Box 20, FI-53851 Lappeenranta, Finland","institution_ids":["https://openalex.org/I63548447"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086876425","display_name":"David Koloseni","orcid":null},"institutions":[{"id":"https://openalex.org/I63548447","display_name":"Lappeenranta-Lahti University of Technology","ror":"https://ror.org/0208vgz68","country_code":"FI","type":"education","lineage":["https://openalex.org/I63548447"]},{"id":"https://openalex.org/I182078086","display_name":"University of Dar es Salaam","ror":"https://ror.org/0479aed98","country_code":"TZ","type":"education","lineage":["https://openalex.org/I182078086"]}],"countries":["FI","TZ"],"is_corresponding":false,"raw_author_name":"David Koloseni","raw_affiliation_strings":["Laboratory of Applied Mathematics, Lappeenranta University of Technology, P.O. Box 20, FI-53851 Lappeenranta, Finland; Department of Mathematics, University of Dar es salaam, P.O. Box 35062 Dar es salaam, Tanzania","Laboratory of Applied Mathematics, Lappeenranta University of Technology, P.O. Box 20, FI-53851 Lappeenranta, Finland","Department of Mathematics, University of Dar es salaam, P.O. Box 35062 Dar es salaam, Tanzania"],"affiliations":[{"raw_affiliation_string":"Laboratory of Applied Mathematics, Lappeenranta University of Technology, P.O. Box 20, FI-53851 Lappeenranta, Finland; Department of Mathematics, University of Dar es salaam, P.O. Box 35062 Dar es salaam, Tanzania","institution_ids":["https://openalex.org/I63548447"]},{"raw_affiliation_string":"Laboratory of Applied Mathematics, Lappeenranta University of Technology, P.O. Box 20, FI-53851 Lappeenranta, Finland","institution_ids":["https://openalex.org/I63548447"]},{"raw_affiliation_string":"Department of Mathematics, University of Dar es salaam, P.O. Box 35062 Dar es salaam, Tanzania","institution_ids":["https://openalex.org/I182078086"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011515331"],"corresponding_institution_ids":["https://openalex.org/I63548447"],"apc_list":null,"apc_paid":null,"fwci":0.4285,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78865928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":"4","first_page":"436","last_page":"436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9646000266075134,"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":0.9646000266075134,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6278660893440247},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5716173648834229},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.5539315938949585},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5208933353424072},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5130066275596619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5080018639564514},{"id":"https://openalex.org/keywords/distance-measures","display_name":"Distance measures","score":0.5041650533676147},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.48079290986061096},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.459044873714447},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44583722949028015},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4067763686180115},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32618802785873413}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6278660893440247},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5716173648834229},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.5539315938949585},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5208933353424072},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5130066275596619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5080018639564514},{"id":"https://openalex.org/C2639959","wikidata":"https://www.wikidata.org/wiki/Q1344778","display_name":"Distance measures","level":2,"score":0.5041650533676147},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.48079290986061096},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.459044873714447},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44583722949028015},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4067763686180115},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32618802785873413},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijmor.2016.10000347","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijmor.2016.10000347","pdf_url":null,"source":{"id":"https://openalex.org/S135796719","display_name":"International Journal of Mathematics in Operational Research","issn_l":"1757-5850","issn":["1757-5850","1757-5869"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Mathematics in Operational Research","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W4234808182","https://openalex.org/W4255628145","https://openalex.org/W2382043075","https://openalex.org/W2809151339","https://openalex.org/W2216913934","https://openalex.org/W2360673138","https://openalex.org/W2809370583","https://openalex.org/W2393169369"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,73],"new":[4],"classification":[5,20,74,114],"method":[6,80,103],"that":[7],"uses":[8],"the":[9,26,46,69],"differential":[10],"evolution":[11],"algorithm":[12],"to":[13,117],"find":[14],"an":[15,53,95],"optimal":[16,96],"parameter":[17],"selection":[18],"for":[19,34,42,68,90],"of":[21,93],"objects.":[22],"Parameters":[23],"optimised":[24,47],"include":[25],"distance":[27,30,48,55],"measure":[28],"used,":[29],"parameters,":[31],"class":[32],"vectors":[33],"each":[35,43,91],"class,":[36],"and":[37,89,109],"OWA-parameters.":[38],"The":[39,76,102],"distances":[40],"yielded":[41],"feature":[44],"by":[45,56],"measures":[49],"are":[50,66],"aggregated":[51],"into":[52],"overall":[54],"using":[57],"OWA-based":[58,64,77,86],"multi-distance":[59,78],"aggregation.":[60],"In":[61],"this":[62],"paper,":[63],"multi-distances":[65],"applied":[67],"first":[70],"time":[71],"in":[72,113],"problem.":[75],"aggregation":[79,87],"is":[81,98,104],"tested":[82,105],"with":[83,100,106],"five":[84,107],"possible":[85],"schemes":[88],"one":[92],"them":[94],"value":[97],"computed":[99],"DE.":[101],"datasets":[108],"results":[110],"show":[111],"improvement":[112],"accuracy":[115],"compared":[116],"previous":[118],"literature.":[119]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}