{"id":"https://openalex.org/W2588675121","doi":"https://doi.org/10.1109/ssci.2016.7850071","title":"Estimating force mix lower bounds using a multi-objective evolutionary algorithm","display_name":"Estimating force mix lower bounds using a multi-objective evolutionary algorithm","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2588675121","doi":"https://doi.org/10.1109/ssci.2016.7850071","mag":"2588675121"},"language":"en","primary_location":{"id":"doi:10.1109/ssci.2016.7850071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2016.7850071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5113463123","display_name":"Fred Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I1297460800","display_name":"Defence Research and Development Canada","ror":"https://ror.org/00hgy8d33","country_code":"CA","type":"government","lineage":["https://openalex.org/I1297460800","https://openalex.org/I1336338359","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fred Ma","raw_affiliation_strings":["Defence Research & Development Canada, Ottawa, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Defence Research & Development Canada, Ottawa, Canada","institution_ids":["https://openalex.org/I1297460800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111912631","display_name":"Slawomir Wesolkowski","orcid":null},"institutions":[{"id":"https://openalex.org/I1297460800","display_name":"Defence Research and Development Canada","ror":"https://ror.org/00hgy8d33","country_code":"CA","type":"government","lineage":["https://openalex.org/I1297460800","https://openalex.org/I1336338359","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Slawomir Wesolkowski","raw_affiliation_strings":["Defence Research & Development Canada, Ottawa, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Defence Research & Development Canada, Ottawa, Canada","institution_ids":["https://openalex.org/I1297460800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1297460800"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11729","display_name":"Product Development and Customization","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11729","display_name":"Product Development and Customization","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9958999752998352,"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/T12176","display_name":"Optimization and Packing Problems","score":0.979200005531311,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/flexibility","display_name":"Flexibility (engineering)","score":0.7151855230331421},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6029706001281738},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5801041722297668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5671361088752747},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5533466339111328},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5459895730018616},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5457205176353455},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.48033419251441956},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4536915421485901},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.44124433398246765},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36874595284461975},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34046849608421326},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15239527821540833}],"concepts":[{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.7151855230331421},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6029706001281738},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5801041722297668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5671361088752747},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5533466339111328},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5459895730018616},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5457205176353455},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.48033419251441956},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4536915421485901},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.44124433398246765},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36874595284461975},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34046849608421326},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15239527821540833},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci.2016.7850071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2016.7850071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1555842707","https://openalex.org/W1982730658","https://openalex.org/W1994035478","https://openalex.org/W2029728897","https://openalex.org/W2050370986","https://openalex.org/W2126105956","https://openalex.org/W2165033395","https://openalex.org/W2402467289","https://openalex.org/W4252634256","https://openalex.org/W6649063483","https://openalex.org/W6657951020","https://openalex.org/W6713123905"],"related_works":["https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W2145877535","https://openalex.org/W2744730182","https://openalex.org/W3134440233","https://openalex.org/W2751605210","https://openalex.org/W2068949283","https://openalex.org/W3151104768","https://openalex.org/W2419109832","https://openalex.org/W2891428731"],"abstract_inverted_index":{"Nations":[0],"will":[1,20],"always":[2],"experience":[3],"conflicting":[4],"pressures":[5],"to":[6,24,26,38,122],"reduce":[7],"both":[8,166],"(i)":[9,50,111],"the":[10,16,68,114,139,161],"funding":[11],"of":[12,56,67,72,75,96,156,165],"militaries":[13],"and":[14],"(ii)":[15],"probability":[17],"that":[18,28,43,116,128],"they":[19],"not":[21],"be":[22,105],"able":[23],"respond":[25],"scenarios":[27,79,125],"may":[29],"arise.":[30],"We":[31],"develop":[32],"a":[33,73,94,117,143],"multiobjective":[34],"evolutionary":[35],"algorithm":[36],"(MOEA)":[37],"generate":[39],"force":[40,60,100],"mix":[41,61,74],"options":[42],"trade-off":[44],"between":[45],"lower":[46,108],"bounds":[47],"for":[48],"objective":[49,52,157],"versus":[51],"(ii).":[53,158],"A":[54],"set":[55],"military":[57],"assets":[58],"or":[59],"is":[62,87],"evaluated":[63,88],"against":[64],"multiple":[65],"instances":[66],"future,":[69],"each":[70,91],"composed":[71],"stochastically":[76],"generated":[77],"realistic":[78],"based":[80],"on":[81,110,132],"historically":[82],"derived":[83],"parameters.":[84],"Scenario":[85],"success":[86],"by":[89],"matching":[90],"occurrence":[92],"with":[93,138],"course":[95],"action":[97],"(CoA)":[98],"whose":[99],"element":[101],"(FE)":[102],"demands":[103],"can":[104],"met.":[106],"The":[107,134],"bound":[109],"comes":[112],"from":[113,141],"assumption":[115],"nation":[118],"has":[119],"complete":[120],"flexibility":[121],"engage":[123],"in":[124],"at":[126],"times":[127],"minimize":[129],"simultaneous":[130],"demand":[131],"FEs.":[133],"results":[135,140],"are":[136],"compared":[137],"Tyche,":[142],"discrete":[144],"event":[145],"Simulator,":[146],"which":[147],"provides":[148],"an":[149],"more":[150],"realistic,":[151],"though":[152],"pessimistic,":[153],"point":[154],"estimate":[155],"Results":[159],"confirm":[160],"expected":[162],"relative":[163],"behavior":[164],"models.":[167]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}