{"id":"https://openalex.org/W2085987013","doi":"https://doi.org/10.1145/1388969.1389033","title":"Reduced computation for evolutionary optimization in noisy environment","display_name":"Reduced computation for evolutionary optimization in noisy environment","publication_year":2008,"publication_date":"2008-07-12","ids":{"openalex":"https://openalex.org/W2085987013","doi":"https://doi.org/10.1145/1388969.1389033","mag":"2085987013"},"language":"en","primary_location":{"id":"doi:10.1145/1388969.1389033","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1388969.1389033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th annual conference companion on Genetic and evolutionary computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://researchoutput.csu.edu.au/en/publications/a3b1afd6-f073-4fe8-baeb-f77f614fc11a","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075844123","display_name":"Maumita Bhattacharya","orcid":"https://orcid.org/0000-0002-5276-1421"},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Maumita Bhattacharya","raw_affiliation_strings":["Charles Sturt University, Albury, Australia","Charles Sturt University , Albury , Australia"],"affiliations":[{"raw_affiliation_string":"Charles Sturt University, Albury, Australia","institution_ids":["https://openalex.org/I153230381"]},{"raw_affiliation_string":"Charles Sturt University , Albury , Australia","institution_ids":["https://openalex.org/I153230381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5075844123"],"corresponding_institution_ids":["https://openalex.org/I153230381"],"apc_list":null,"apc_paid":null,"fwci":0.5854,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.78662179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2117","last_page":"2122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9995999932289124,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9995999932289124,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fitness-approximation","display_name":"Fitness approximation","score":0.7565392255783081},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.6728768944740295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6716152429580688},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.6708896160125732},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.628522515296936},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.53227698802948},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5018725395202637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49730876088142395},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4922410547733307},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4774268567562103},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4760860502719879},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4352785646915436},{"id":"https://openalex.org/keywords/interactive-evolutionary-computation","display_name":"Interactive evolutionary computation","score":0.41896456480026245},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.35035842657089233},{"id":"https://openalex.org/keywords/evolutionary-programming","display_name":"Evolutionary programming","score":0.2508507966995239},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1861588954925537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18197649717330933}],"concepts":[{"id":"https://openalex.org/C148392497","wikidata":"https://www.wikidata.org/wiki/Q16250539","display_name":"Fitness approximation","level":4,"score":0.7565392255783081},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.6728768944740295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6716152429580688},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.6708896160125732},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.628522515296936},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.53227698802948},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5018725395202637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49730876088142395},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4922410547733307},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4774268567562103},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4760860502719879},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4352785646915436},{"id":"https://openalex.org/C123189799","wikidata":"https://www.wikidata.org/wiki/Q6045380","display_name":"Interactive evolutionary computation","level":4,"score":0.41896456480026245},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.35035842657089233},{"id":"https://openalex.org/C121835503","wikidata":"https://www.wikidata.org/wiki/Q2596288","display_name":"Evolutionary programming","level":3,"score":0.2508507966995239},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1861588954925537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18197649717330933},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1388969.1389033","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1388969.1389033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th annual conference companion on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/a3b1afd6-f073-4fe8-baeb-f77f614fc11a","is_oa":true,"landing_page_url":"https://researchoutput.csu.edu.au/en/publications/a3b1afd6-f073-4fe8-baeb-f77f614fc11a","pdf_url":null,"source":{"id":"https://openalex.org/S7407055442","display_name":"Charles Sturt University Research Output (CRO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bhattacharya, M 2008, Reduced Computation for Evolutionary Optimization in Noisy Environment. in GECCO 2008. ACM Press, USA, pp. 2117-2122, Genetic and Evolutionary Computation Conference, New Zealand, 12/07/08.","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/a3b1afd6-f073-4fe8-baeb-f77f614fc11a","is_oa":true,"landing_page_url":"https://researchoutput.csu.edu.au/en/publications/a3b1afd6-f073-4fe8-baeb-f77f614fc11a","pdf_url":null,"source":{"id":"https://openalex.org/S7407055442","display_name":"Charles Sturt University Research Output (CRO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bhattacharya, M 2008, Reduced Computation for Evolutionary Optimization in Noisy Environment. in GECCO 2008. ACM Press, USA, pp. 2117-2122, Genetic and Evolutionary Computation Conference, New Zealand, 12/07/08.","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W75550020","https://openalex.org/W397102730","https://openalex.org/W1507016871","https://openalex.org/W1532738248","https://openalex.org/W1554663460","https://openalex.org/W1554944419","https://openalex.org/W1591022951","https://openalex.org/W1869391892","https://openalex.org/W1939479690","https://openalex.org/W1963751895","https://openalex.org/W1964357740","https://openalex.org/W1981388088","https://openalex.org/W2012451526","https://openalex.org/W2018044188","https://openalex.org/W2041397719","https://openalex.org/W2045933457","https://openalex.org/W2094914016","https://openalex.org/W2103507771","https://openalex.org/W2123801610","https://openalex.org/W2153635215","https://openalex.org/W2156909104","https://openalex.org/W2166739626","https://openalex.org/W2519881875","https://openalex.org/W3004042307","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1583704618","https://openalex.org/W1634842376","https://openalex.org/W1529080216","https://openalex.org/W2090711451","https://openalex.org/W2159937791","https://openalex.org/W2012451526","https://openalex.org/W1606502848","https://openalex.org/W2021504082","https://openalex.org/W2373051176","https://openalex.org/W2550292406"],"abstract_inverted_index":{"Evolutionary":[0,77],"Algorithms'":[1],"(EAs')":[2],"application":[3],"to":[4,47,101,114,124,142],"real":[5,55],"world":[6,56],"optimization":[7],"problems":[8,53,125],"often":[9,57],"involves":[10],"expensive":[11,59],"fitness":[12,35,105],"function":[13],"evaluation.":[14],"Naturally":[15],"this":[16,50,150],"has":[17],"a":[18,44,131],"crippling":[19],"effect":[20],"on":[21,156],"the":[22,34,115,137,157],"performance":[23,158],"of":[24,36,39,93,146,159],"any":[25],"population":[26],"based":[27,75,133],"search":[28],"technique":[29],"such":[30],"as":[31],"EA.":[32],"Estimating":[33],"individuals":[37],"instead":[38],"actually":[40],"evaluating":[41],"them":[42],"is":[43,111],"workable":[45],"approach":[46,135],"deal":[48],"with":[49],"situation.":[51],"Optimization":[52],"in":[54,118],"involve":[58,127],"fitness.":[60],"In":[61,149],"[14]":[62,86],"and":[63,79,161],"[15]":[64,110],"we":[65,152],"presented":[66],"two":[67],"EA":[68],"models,":[69],"namely":[70],"DAFHEA":[71,84,160],"(Dynamic":[72],"Approximate":[73],"Fitness":[74],"Hybrid":[76],"Algorithm)":[78],"DAFHEA-II":[80,109],"respectively.":[81],"The":[82],"original":[83,116],"framework":[85,117],"reduces":[87],"computation":[88],"time":[89],"by":[90,96,107],"controlled":[91],"use":[92],"meta-models":[94],"generated":[95],"Support":[97],"Vector":[98],"Machine":[99],"regression":[100],"partly":[102],"replace":[103],"actual":[104],"evaluation":[106],"estimation.":[108],"an":[112],"enhancement":[113],"that":[119,126],"it":[120],"can":[121],"be":[122],"applied":[123],"uncertainty.":[128],"DAFHEA-II,":[129],"incorporates":[130],"multiple-model":[132],"learning":[134],"for":[136],"support":[138],"vector":[139],"machine":[140],"approximator":[141],"filter":[143],"out":[144],"effects":[145],"noise":[147],"[15].":[148],"paper":[151],"present":[153],"further":[154],"investigation":[155],"DAFHEA-II.":[162]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
