{"id":"https://openalex.org/W4387172144","doi":"https://doi.org/10.3233/faia230463","title":"Fast Pareto Optimization Using Sliding Window Selection","display_name":"Fast Pareto Optimization Using Sliding Window Selection","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387172144","doi":"https://doi.org/10.3233/faia230463"},"language":"en","primary_location":{"id":"doi:10.3233/faia230463","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230463","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230463","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230463","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089531887","display_name":"Frank Neumann","orcid":"https://orcid.org/0000-0002-2721-3618"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Frank Neumann","raw_affiliation_strings":["Optimisation and Logistics, The University of Adelaide, Australia"],"raw_orcid":"https://orcid.org/0000-0002-2721-3618","affiliations":[{"raw_affiliation_string":"Optimisation and Logistics, The University of Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038689623","display_name":"Carsten Witt","orcid":"https://orcid.org/0000-0002-6105-7700"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Carsten Witt","raw_affiliation_strings":["DTU Compute, Technical University of Denmark, Denmark"],"raw_orcid":"https://orcid.org/0000-0002-6105-7700","affiliations":[{"raw_affiliation_string":"DTU Compute, Technical University of Denmark, Denmark","institution_ids":["https://openalex.org/I96673099"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089531887"],"corresponding_institution_ids":["https://openalex.org/I5681781"],"apc_list":null,"apc_paid":null,"fwci":7.4474,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.97703894,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.9988999962806702,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/sliding-window-protocol","display_name":"Sliding window protocol","score":0.7308475971221924},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6494003534317017},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6426887512207031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6014129519462585},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5667902827262878},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5564353466033936},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5535901188850403},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5342150330543518},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.49752548336982727},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4941575825214386},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.48384538292884827},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4831078052520752},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4756476581096649},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4326738119125366},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.38120606541633606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2834450304508209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18173694610595703},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0983738899230957}],"concepts":[{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.7308475971221924},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6494003534317017},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6426887512207031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6014129519462585},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5667902827262878},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5564353466033936},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5535901188850403},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5342150330543518},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.49752548336982727},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4941575825214386},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.48384538292884827},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4831078052520752},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4756476581096649},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4326738119125366},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.38120606541633606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2834450304508209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18173694610595703},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0983738899230957},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia230463","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230463","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230463","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia230463","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230463","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230463","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387172144.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1493650034","https://openalex.org/W1552383524","https://openalex.org/W1632066424","https://openalex.org/W1985123706","https://openalex.org/W1995375333","https://openalex.org/W1997783781","https://openalex.org/W2066124178","https://openalex.org/W2080379754","https://openalex.org/W2088415500","https://openalex.org/W2110786553","https://openalex.org/W2151612665","https://openalex.org/W2152688255","https://openalex.org/W2187602868","https://openalex.org/W2294347342","https://openalex.org/W2500139799","https://openalex.org/W2531699011","https://openalex.org/W2740307401","https://openalex.org/W2901802524","https://openalex.org/W3035922393","https://openalex.org/W3091447387","https://openalex.org/W3127900374","https://openalex.org/W3156607643","https://openalex.org/W3200825350","https://openalex.org/W4313452197"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W4241467429","https://openalex.org/W2001591765","https://openalex.org/W2751605210","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2977596624","https://openalex.org/W2073147994","https://openalex.org/W2145877535","https://openalex.org/W1588199609"],"abstract_inverted_index":{"Pareto":[0],"optimization":[1,20],"using":[2],"evolutionary":[3,31],"multi-objective":[4],"algorithms":[5,32,43,53],"such":[6],"as":[7,79,99],"the":[8,26,29,38,42,47,52,76,85,88,94,110],"classical":[9,89,111],"GSEMO":[10,90],"algorithm":[11,91],"has":[12],"been":[13],"widely":[14],"applied":[15],"to":[16,33,123],"solve":[17],"constrained":[18],"submodular":[19],"problems.":[21],"A":[22],"crucial":[23,81],"factor":[24,82],"determining":[25],"runtime":[27,86],"of":[28,41,49,87,130],"used":[30],"obtain":[34],"good":[35],"approximations":[36],"is":[37],"population":[39,77],"size":[40,78],"which":[44],"grows":[45],"with":[46],"number":[48],"trade-offs":[50],"that":[51,72,116],"encounter.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58],"introduce":[59],"a":[60,80,127],"sliding":[61,118],"window":[62,119],"speed":[63],"up":[64],"technique":[65,74,120],"for":[66,109,126],"recently":[67],"introduced":[68],"algorithms.":[69],"We":[70],"prove":[71],"our":[73,117],"eliminates":[75],"negatively":[83],"impacting":[84],"and":[92,132],"achieves":[93],"same":[95],"theoretical":[96],"performance":[97],"guarantees":[98],"previous":[100],"approaches":[101],"within":[102],"less":[103],"computation":[104],"time.":[105],"Our":[106],"experimental":[107],"investigations":[108],"maximum":[112],"coverage":[113],"problem":[114],"confirms":[115],"clearly":[121],"leads":[122],"better":[124],"results":[125],"wide":[128],"range":[129],"instances":[131],"constraint":[133],"settings.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}