{"id":"https://openalex.org/W2143059699","doi":"https://doi.org/10.1109/cec.2008.4631245","title":"Methods for decreasing the number of objective evaluations for independent computationally expensive objective problems","display_name":"Methods for decreasing the number of objective evaluations for independent computationally expensive objective problems","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2143059699","doi":"https://doi.org/10.1109/cec.2008.4631245","mag":"2143059699"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2008.4631245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4631245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-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/A5032433401","display_name":"Greg Rohling","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I4388482740","display_name":"Georgia Tech Research Institute","ror":"https://ror.org/04qfrh333","country_code":null,"type":"facility","lineage":["https://openalex.org/I130701444","https://openalex.org/I4388482740"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Greg Rohling","raw_affiliation_strings":["Georgia Tech Research Institute, Georgia Institute of Technology, Atlanta, GA, USA","Georgia Tech Research Institute, Atlanta, GA#TAB#"],"affiliations":[{"raw_affiliation_string":"Georgia Tech Research Institute, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Tech Research Institute, Atlanta, GA#TAB#","institution_ids":["https://openalex.org/I130701444","https://openalex.org/I4388482740"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5032433401"],"corresponding_institution_ids":["https://openalex.org/I130701444","https://openalex.org/I4388482740"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14817063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3305","last_page":"3310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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":1.0,"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":0.9973999857902527,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/knapsack-problem","display_name":"Knapsack problem","score":0.9266148805618286},{"id":"https://openalex.org/keywords/hypercube","display_name":"Hypercube","score":0.7374359369277954},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7112528681755066},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6456576585769653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.636654257774353},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6125586628913879},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5991567373275757},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.4768865406513214},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.44549137353897095},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39201265573501587},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30253171920776367},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.21640342473983765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1453751027584076},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06922462582588196}],"concepts":[{"id":"https://openalex.org/C113138325","wikidata":"https://www.wikidata.org/wiki/Q864457","display_name":"Knapsack problem","level":2,"score":0.9266148805618286},{"id":"https://openalex.org/C50820777","wikidata":"https://www.wikidata.org/wiki/Q213723","display_name":"Hypercube","level":2,"score":0.7374359369277954},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7112528681755066},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6456576585769653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.636654257774353},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6125586628913879},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5991567373275757},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.4768865406513214},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.44549137353897095},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39201265573501587},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30253171920776367},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.21640342473983765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1453751027584076},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06922462582588196},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2008.4631245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4631245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.598.9003","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.598.9003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://130.207.195.147/portals/2/cec_2008_rohling.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W198598726","https://openalex.org/W1504943474","https://openalex.org/W1573534773","https://openalex.org/W1585939719","https://openalex.org/W1659842140","https://openalex.org/W1905847227","https://openalex.org/W2000837597","https://openalex.org/W2066671865","https://openalex.org/W2098907614","https://openalex.org/W2106334424","https://openalex.org/W2125899728","https://openalex.org/W2146531337","https://openalex.org/W2477031483","https://openalex.org/W3134267570","https://openalex.org/W6635097213"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2073147994","https://openalex.org/W1588199609","https://openalex.org/W2384474142","https://openalex.org/W1550055091","https://openalex.org/W2744462909","https://openalex.org/W3083133203","https://openalex.org/W1971520370"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"three":[3],"new":[4],"methods":[5,33,61],"for":[6,36,54],"pushing":[7],"solutions":[8],"toward":[9],"a":[10],"desired":[11],"region":[12],"of":[13,59],"the":[14,42,65],"objective":[15,25,30,67],"space":[16],"more":[17],"quickly":[18],"are":[19,34],"explored;":[20],"hypercube":[21,28],"distance":[22,29],"scaling,":[23],"dynamic":[24],"thresholding,":[26],"and":[27,46],"ordering.":[31],"These":[32],"applicable":[35],"problems":[37],"that":[38,47],"do":[39],"not":[40],"require":[41,48],"entire":[43],"Pareto":[44],"front":[45],"an":[49],"independent":[50],"computationally":[51],"expensive":[52],"computation":[53],"each":[55],"objective.":[56],"The":[57],"performance":[58],"these":[60],"is":[62],"evaluated":[63],"with":[64],"multiple":[66],"0/1":[68],"knapsack":[69],"problem.":[70]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
