{"id":"https://openalex.org/W2897013050","doi":"https://doi.org/10.1109/cec.2018.8477822","title":"Hybrid Population Based MVMO for Solving CEC 2018 Test Bed of Single-Objective Problems","display_name":"Hybrid Population Based MVMO for Solving CEC 2018 Test Bed of Single-Objective Problems","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897013050","doi":"https://doi.org/10.1109/cec.2018.8477822","mag":"2897013050"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2018.8477822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2018.8477822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://resolver.tudelft.nl/uuid:1f9d1c6d-f56d-4573-8500-34fea21654b7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056386814","display_name":"Jos\u00e9 L. Rueda","orcid":"https://orcid.org/0000-0001-7288-0228"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jose Rueda","raw_affiliation_strings":["Department of Electrical Sustainable Energy, Delft University of Technology, Delft, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Sustainable Energy, Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077323202","display_name":"I. Erlich","orcid":"https://orcid.org/0000-0003-0910-1732"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Istvan Erlich","raw_affiliation_strings":["Institute of Electrical Power Systems, University Duisburg-Essen, Duisburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrical Power Systems, University Duisburg-Essen, Duisburg, Germany","institution_ids":["https://openalex.org/I62318514"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.858,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77196668,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9986000061035156,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6059438586235046},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.578116774559021},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5729185342788696},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5694704055786133},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5353911519050598},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5276079177856445},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5200836062431335},{"id":"https://openalex.org/keywords/test-suite","display_name":"Test suite","score":0.46769049763679504},{"id":"https://openalex.org/keywords/variable-neighborhood-search","display_name":"Variable neighborhood search","score":0.46429237723350525},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.449759840965271},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.4459887444972992},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40493136644363403},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.2564690113067627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2527707815170288},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.2106853723526001},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18364477157592773},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06706756353378296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6059438586235046},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.578116774559021},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5729185342788696},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5694704055786133},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5353911519050598},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5276079177856445},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5200836062431335},{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.46769049763679504},{"id":"https://openalex.org/C2776435737","wikidata":"https://www.wikidata.org/wiki/Q7915703","display_name":"Variable neighborhood search","level":3,"score":0.46429237723350525},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.449759840965271},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.4459887444972992},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40493136644363403},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.2564690113067627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2527707815170288},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.2106853723526001},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18364477157592773},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06706756353378296},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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":2,"locations":[{"id":"doi:10.1109/cec.2018.8477822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2018.8477822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:tud:oai:tudelft.nl:uuid:1f9d1c6d-f56d-4573-8500-34fea21654b7","is_oa":true,"landing_page_url":"http://resolver.tudelft.nl/uuid:1f9d1c6d-f56d-4573-8500-34fea21654b7","pdf_url":"http://resolver.tudelft.nl/uuid:1f9d1c6d-f56d-4573-8500-34fea21654b7","source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2018 IEEE Congress on Evolutionary Computation, CEC 2018: Proceedings","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":{"id":"pmh:tud:oai:tudelft.nl:uuid:1f9d1c6d-f56d-4573-8500-34fea21654b7","is_oa":true,"landing_page_url":"http://resolver.tudelft.nl/uuid:1f9d1c6d-f56d-4573-8500-34fea21654b7","pdf_url":"http://resolver.tudelft.nl/uuid:1f9d1c6d-f56d-4573-8500-34fea21654b7","source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2018 IEEE Congress on Evolutionary Computation, CEC 2018: Proceedings","raw_type":"info:eu-repo/semantics/conferencepaper"},"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2897013050.pdf","grobid_xml":"https://content.openalex.org/works/W2897013050.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W1539307555","https://openalex.org/W6632271611"],"related_works":["https://openalex.org/W1480521623","https://openalex.org/W2356948891","https://openalex.org/W2028796071","https://openalex.org/W2107309132","https://openalex.org/W3180921142","https://openalex.org/W2571293944","https://openalex.org/W2377941745","https://openalex.org/W2564248808","https://openalex.org/W2043537261","https://openalex.org/W2351380831"],"abstract_inverted_index":{"The":[0,52,60,83],"MVMO":[1,56,86,100,116,173],"algorithm":[2],"(Mean-Variance":[3],"Mapping":[4],"Optimization)":[5],"has":[6],"two":[7,164],"main":[8],"features:":[9],"i)":[10],"normalized":[11],"search":[12,109],"range":[13],"for":[14,66,120,154],"each":[15,19],"dimension":[16],"(associated":[17],"to":[18,28,147],"optimization":[20,36,77,157],"variable);":[21],"ii)":[22],"use":[23,67,135],"of":[24,33,55,99,130,136,140,172],"a":[25,30,34,131],"mapping":[26,166],"function":[27,89],"generate":[29],"new":[31,165],"value":[32],"selected":[35],"variable":[37],"based":[38,85],"on":[39,133],"the":[40,46,70,76,92,121,128,134,137,149,169],"mean":[41],"and":[42,75],"variance":[43],"derived":[44],"from":[45],"best":[47],"solutions":[48],"achieved":[49],"so":[50],"far.":[51],"current":[53],"version":[54,63,139],"offers":[57],"several":[58],"alternatives.":[59],"single":[61,155],"parent-offspring":[62],"is":[64,73,79,117],"designed":[65],"in":[68],"case":[69],"evaluation":[71],"budget":[72],"small":[74],"task":[78],"not":[80],"too":[81],"challenging.":[82],"population":[84],"requires":[87],"more":[88],"evaluations,":[90],"but":[91],"results":[93,129],"are":[94,111,174],"usually":[95],"better.":[96],"Both":[97],"variants":[98],"can":[101],"be":[102],"improved":[103],"considerably":[104],"if":[105],"additionally":[106],"separate":[107],"local":[108],"algorithms":[110],"incorporated.":[112],"In":[113],"this":[114],"case,":[115],"basically":[118],"responsible":[119],"initial":[122],"global":[123],"search.":[124],"This":[125],"paper":[126],"presents":[127],"study":[132],"hybrid":[138],"MVMO,":[141],"called":[142],"MVMO-PH":[143],"(population":[144],"based,":[145],"hybrid),":[146],"solve":[148],"IEEE-CEC":[150],"2018":[151],"test":[152],"suite":[153],"objective":[156],"with":[158],"continuous":[159],"(real-number)":[160],"decision":[161],"variables.":[162],"Additionally,":[163],"functions":[167],"representing":[168],"unique":[170],"feature":[171],"presented.":[175]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
