{"id":"https://openalex.org/W2090392688","doi":"https://doi.org/10.1145/2739480.2754713","title":"Improved Sampling of Decision Space for Pareto Estimation","display_name":"Improved Sampling of Decision Space for Pareto Estimation","publication_year":2015,"publication_date":"2015-07-07","ids":{"openalex":"https://openalex.org/W2090392688","doi":"https://doi.org/10.1145/2739480.2754713","mag":"2090392688"},"language":"en","primary_location":{"id":"doi:10.1145/2739480.2754713","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739480.2754713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation","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/A5041395379","display_name":"Yiming Yan","orcid":"https://orcid.org/0000-0003-0751-7726"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yiming Yan","raw_affiliation_strings":["University of Sheffield, Sheffield, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sheffield, Sheffield, United Kingdom","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091583883","display_name":"Ioannis Giagkiozis","orcid":"https://orcid.org/0000-0002-5521-2196"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ioannis Giagkiozis","raw_affiliation_strings":["University of Sheffield, Sheffield, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sheffield, Sheffield, United Kingdom","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071374930","display_name":"P.J. Fleming","orcid":"https://orcid.org/0000-0001-9837-8404"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peter J. Fleming","raw_affiliation_strings":["University of Sheffield, Sheffield, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sheffield, Sheffield, United Kingdom","institution_ids":["https://openalex.org/I91136226"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91136226"],"apc_list":null,"apc_paid":null,"fwci":0.333,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.49400938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"767","last_page":"774"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9933000206947327,"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"}},{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/pareto-principle","display_name":"Pareto principle","score":0.7148454189300537},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.688034176826477},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6792337894439697},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5746940970420837},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5517164468765259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5469090342521667},{"id":"https://openalex.org/keywords/pareto-analysis","display_name":"Pareto analysis","score":0.5029882788658142},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4918398857116699},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.4163089990615845},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32673072814941406},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3262789845466614}],"concepts":[{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.7148454189300537},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.688034176826477},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6792337894439697},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5746940970420837},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5517164468765259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5469090342521667},{"id":"https://openalex.org/C118127601","wikidata":"https://www.wikidata.org/wiki/Q3797610","display_name":"Pareto analysis","level":3,"score":0.5029882788658142},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4918398857116699},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.4163089990615845},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32673072814941406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3262789845466614},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2739480.2754713","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739480.2754713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:95996","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Proceedings Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5059073571","display_name":"Optimization for robust design: Integrating model-based systems engineering with multi-criteria decision-making support in a distributed framework","funder_award_id":"EP/L025760/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G509077376","display_name":null,"funder_award_id":"EP/L025760/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1492403673","https://openalex.org/W1561610472","https://openalex.org/W1593552206","https://openalex.org/W1846834309","https://openalex.org/W1920632974","https://openalex.org/W1967157470","https://openalex.org/W1972319095","https://openalex.org/W1976578972","https://openalex.org/W1980852127","https://openalex.org/W1990098087","https://openalex.org/W2008499862","https://openalex.org/W2015371402","https://openalex.org/W2027939353","https://openalex.org/W2036664398","https://openalex.org/W2084052726","https://openalex.org/W2094131428","https://openalex.org/W2117762792","https://openalex.org/W2135864487","https://openalex.org/W2143185749","https://openalex.org/W2143381319","https://openalex.org/W2146216407","https://openalex.org/W2151676061","https://openalex.org/W2155019998","https://openalex.org/W2155345556","https://openalex.org/W2159329525","https://openalex.org/W4254882341","https://openalex.org/W4292864963"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W2728870795","https://openalex.org/W317165722","https://openalex.org/W1588199609","https://openalex.org/W2358268639","https://openalex.org/W4300308878","https://openalex.org/W2470758391","https://openalex.org/W2969026648","https://openalex.org/W2051213170","https://openalex.org/W2166566913"],"abstract_inverted_index":{"Pareto":[0,12,18,33,99,141],"Estimation":[1],"(PE)":[2],"is":[3,160,184],"a":[4,22,49,66],"novel":[5],"method":[6,178],"for":[7,56,151],"increasing":[8],"the":[9,16,29,57,75,78,84,94,114,127,137,152,165,176,188,191,197],"density":[10],"of":[11,25,32,51,59,77,91,98,140,190,196],"optimal":[13,34,100,142],"solutions":[14,101,143,167],"across":[15],"entire":[17],"Front":[19],"or":[20],"in":[21,61,144,155,181,187,194],"specific":[23],"region":[24],"interest.":[26],"PE":[27,92,193],"identifies":[28],"inverse":[30],"mapping":[31],"solutions,":[35],"namely,":[36],"from":[37,102],"objective":[38],"space":[39],"to":[40,112,135,146],"decision":[41],"space.":[42],"This":[43],"identification":[44,153],"can":[45],"be":[46,126],"performed":[47],"using":[48],"number":[50],"modeling":[52,73],"techniques,":[53],"how-":[54],"ever,":[55],"sake":[58],"simplicity":[60],"this":[62,110,121],"work":[63],"we":[64,118],"use":[65],"radial":[67],"basis":[68],"neural":[69],"network.":[70],"In":[71],"any":[72,103],"method,":[74],"quality":[76,149,189],"resulting":[79,138,166],"model":[80],"depends":[81],"heavily":[82],"on":[83],"training":[85],"samples":[86,150],"used.":[87],"The":[88,157,172],"original":[89],"version":[90],"uses":[93],"result-":[95],"ing":[96],"set":[97,111,139],"multi-objective":[104],"optimization":[105],"algorithm":[106],"and":[107,130,164,199],"then":[108],"utilizes":[109],"identify":[113],"aforementioned":[115],"mapping.":[116],"However,":[117],"argue":[119],"that":[120,175,182],"selection":[122],"may":[123],"not":[124],"always":[125],"best":[128],"possible":[129],"propose":[131],"an":[132],"alternative":[133],"scheme":[134,154],"improve":[136],"order":[145],"produce":[147],"higher":[148],"PE.":[156,171],"proposed":[158,177],"approach":[159],"integrated":[161],"with":[162,170],"MAEA-gD,":[163],"are":[168],"used":[169],"results":[173],"show":[174],"shows":[179],"promise,":[180],"there":[183],"measurable":[185],"improvement":[186],"estimated":[192],"terms":[195],"coverage":[198],"density.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
