{"id":"https://openalex.org/W4328111765","doi":"https://doi.org/10.1142/s0218213023500379","title":"Enhancing Dynamic Multi-objective Optimization Using Opposition-based Learning and Simulated Annealing","display_name":"Enhancing Dynamic Multi-objective Optimization Using Opposition-based Learning and Simulated Annealing","publication_year":2023,"publication_date":"2023-03-21","ids":{"openalex":"https://openalex.org/W4328111765","doi":"https://doi.org/10.1142/s0218213023500379"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213023500379","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213023500379","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","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/A5098577097","display_name":"Kiran Ilyas","orcid":null},"institutions":[{"id":"https://openalex.org/I87482320","display_name":"University of Management and Technology","ror":"https://ror.org/0095xcq10","country_code":"PK","type":"education","lineage":["https://openalex.org/I87482320"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Kiran Ilyas","raw_affiliation_strings":["School of Systems and Technology, University of Management and Technology, Lahore, 54000, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Systems and Technology, University of Management and Technology, Lahore, 54000, Pakistan","institution_ids":["https://openalex.org/I87482320"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063878881","display_name":"Irfan Younas","orcid":"https://orcid.org/0000-0002-2756-9980"},"institutions":[{"id":"https://openalex.org/I201384688","display_name":"National University of Computer and Emerging Sciences","ror":"https://ror.org/003eyb898","country_code":"PK","type":"education","lineage":["https://openalex.org/I201384688"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Irfan Younas","raw_affiliation_strings":["FAST School of Computing, National University of Computer and Emerging Sciences, Lahore, 54000, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-2756-9980","affiliations":[{"raw_affiliation_string":"FAST School of Computing, National University of Computer and Emerging Sciences, Lahore, 54000, Pakistan","institution_ids":["https://openalex.org/I201384688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063878881"],"corresponding_institution_ids":["https://openalex.org/I201384688"],"apc_list":null,"apc_paid":null,"fwci":0.3794,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61727161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"32","issue":"04","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":0.9983999729156494,"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":0.9983999729156494,"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":0.9513999819755554,"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/T11954","display_name":"Energy Efficiency and Management","score":0.9174000024795532,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8306269645690918},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.7127403020858765},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5609740614891052},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5578420162200928},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.49365219473838806},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.4502611756324768},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4425922632217407},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3681984543800354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35017263889312744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09443056583404541}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8306269645690918},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.7127403020858765},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5609740614891052},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5578420162200928},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.49365219473838806},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.4502611756324768},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4425922632217407},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3681984543800354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35017263889312744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09443056583404541},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218213023500379","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213023500379","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","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/W3035117390","https://openalex.org/W2806920391","https://openalex.org/W3174049743","https://openalex.org/W2074411245","https://openalex.org/W2763601085","https://openalex.org/W1978877082","https://openalex.org/W2039201796","https://openalex.org/W2034455697","https://openalex.org/W2766565597","https://openalex.org/W2075016777"],"abstract_inverted_index":{"There":[0],"are":[1,46],"many":[2],"dynamic":[3,50,60,69],"real-life":[4],"optimization":[5,29],"problems":[6,138],"in":[7,20,160],"which":[8,15,45],"objectives":[9,143],"increase":[10],"or":[11],"decrease":[12],"over":[13,144],"time,":[14],"usually":[16],"leads":[17],"to":[18,33,41,89],"variations":[19],"the":[21,37,43,49,53,111,114,149,153,157],"dimensions":[22],"of":[23,36,113,142,148],"a":[24,66,74],"Pareto":[25,39],"front.":[26],"Dynamic":[27],"multi-objective":[28,121],"(DyMO)":[30],"approaches":[31,56],"aim":[32],"keep":[34],"track":[35],"updated":[38],"front":[40],"tackle":[42],"changes":[44],"caused":[47],"by":[48,98],"environment.":[51],"However,":[52],"current":[54],"DyMO":[55],"do":[57],"not":[58],"handle":[59],"environments":[61],"effectively.":[62],"In":[63],"this":[64],"study,":[65],"new":[67],"hybrid":[68],"two-archive":[70],"evolutionary":[71],"algorithm":[72],"with":[73,92,139],"newly":[75],"added":[76],"simulated":[77],"annealing":[78],"and":[79,95,107,128],"opposition-based":[80],"learning":[81],"strategy":[82],"is":[83],"proposed.":[84],"The":[85,146],"proposed":[86],"method":[87,155],"helps":[88],"preserve":[90],"solutions":[91,102],"reasonable":[93],"diversity":[94],"improve":[96],"convergence":[97],"searching":[99],"for":[100],"promising":[101],"within":[103],"acceptable":[104],"computational":[105],"time":[106],"effort.":[108],"To":[109],"evaluate":[110],"efficacy":[112],"suggested":[115,154],"method,":[116],"comprehensive":[117],"experiments":[118,150],"using":[119],"different":[120],"quality":[122],"measures":[123],"such":[124],"as":[125],"generational":[126,130],"distance,":[127],"inverted":[129],"distance":[131],"have":[132],"been":[133],"performed":[134],"on":[135],"several":[136],"benchmark":[137],"varying":[140],"numbers":[141],"time.":[145],"results":[147],"show":[151],"that":[152],"outperforms":[156],"strategies":[158],"already":[159],"use.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
