{"id":"https://openalex.org/W2588566021","doi":"https://doi.org/10.1109/ssci.2016.7849959","title":"Evolutionary algorithms under noise and uncertainty: A location-allocation case study","display_name":"Evolutionary algorithms under noise and uncertainty: A location-allocation case study","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2588566021","doi":"https://doi.org/10.1109/ssci.2016.7849959","mag":"2588566021"},"language":"en","primary_location":{"id":"doi:10.1109/ssci.2016.7849959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2016.7849959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5014979931","display_name":"Marta Vallejo","orcid":"https://orcid.org/0000-0001-9957-954X"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Marta Vallejo","raw_affiliation_strings":["Department of Computer Science, Heriot-Watt University, Edinburgh, UK","Dept of Comput. Sci., Heriot-Watt Univ., Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Heriot-Watt University, Edinburgh, UK","institution_ids":["https://openalex.org/I32062511"]},{"raw_affiliation_string":"Dept of Comput. Sci., Heriot-Watt Univ., Edinburgh, UK","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061783148","display_name":"David Corne","orcid":"https://orcid.org/0000-0003-4369-3807"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David W. Corne","raw_affiliation_strings":["Department of Computer Science, Heriot-Watt University, Edinburgh, UK","Dept of Comput. Sci., Heriot-Watt Univ., Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Heriot-Watt University, Edinburgh, UK","institution_ids":["https://openalex.org/I32062511"]},{"raw_affiliation_string":"Dept of Comput. Sci., Heriot-Watt Univ., Edinburgh, UK","institution_ids":["https://openalex.org/I32062511"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014979931"],"corresponding_institution_ids":["https://openalex.org/I32062511"],"apc_list":null,"apc_paid":null,"fwci":0.3681,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.69209022,"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":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10969","display_name":"Water resources management and optimization","score":0.9873999953269958,"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"}},"topics":[{"id":"https://openalex.org/T10969","display_name":"Water resources management and optimization","score":0.9873999953269958,"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"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.983299970626831,"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/T10841","display_name":"Economic and Environmental Valuation","score":0.96670001745224,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7267495393753052},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6407789587974548},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5943399667739868},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.591731071472168},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5307497978210449},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4711388945579529},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46852582693099976},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46541738510131836},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4574960172176361},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32724785804748535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29638293385505676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1618027687072754},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13337576389312744}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7267495393753052},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6407789587974548},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5943399667739868},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.591731071472168},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5307497978210449},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4711388945579529},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46852582693099976},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46541738510131836},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4574960172176361},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32724785804748535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29638293385505676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1618027687072754},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13337576389312744},{"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci.2016.7849959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2016.7849959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W621301","https://openalex.org/W52169070","https://openalex.org/W123765585","https://openalex.org/W138752385","https://openalex.org/W149236175","https://openalex.org/W192154461","https://openalex.org/W198652188","https://openalex.org/W264301034","https://openalex.org/W1484734730","https://openalex.org/W1484775731","https://openalex.org/W1485111065","https://openalex.org/W1487312389","https://openalex.org/W1504250515","https://openalex.org/W1512148653","https://openalex.org/W1522125287","https://openalex.org/W1525997788","https://openalex.org/W1528587449","https://openalex.org/W1555106872","https://openalex.org/W1556526813","https://openalex.org/W1647513660","https://openalex.org/W1661980868","https://openalex.org/W1800148745","https://openalex.org/W1841728366","https://openalex.org/W1971735090","https://openalex.org/W1976379984","https://openalex.org/W1981253394","https://openalex.org/W1997738271","https://openalex.org/W1998736475","https://openalex.org/W2001933112","https://openalex.org/W2003733058","https://openalex.org/W2007674050","https://openalex.org/W2012451526","https://openalex.org/W2013059839","https://openalex.org/W2013695155","https://openalex.org/W2028061137","https://openalex.org/W2028335093","https://openalex.org/W2030065068","https://openalex.org/W2034725503","https://openalex.org/W2037662824","https://openalex.org/W2038933051","https://openalex.org/W2042191235","https://openalex.org/W2051203581","https://openalex.org/W2053055559","https://openalex.org/W2062505214","https://openalex.org/W2069284367","https://openalex.org/W2074398030","https://openalex.org/W2075795262","https://openalex.org/W2078848072","https://openalex.org/W2089676702","https://openalex.org/W2096999770","https://openalex.org/W2103593133","https://openalex.org/W2103933057","https://openalex.org/W2104494285","https://openalex.org/W2110962519","https://openalex.org/W2115180584","https://openalex.org/W2116661285","https://openalex.org/W2131847304","https://openalex.org/W2133354214","https://openalex.org/W2135758729","https://openalex.org/W2137983211","https://openalex.org/W2138135326","https://openalex.org/W2147525584","https://openalex.org/W2151389381","https://openalex.org/W2152043436","https://openalex.org/W2156106639","https://openalex.org/W2166739626","https://openalex.org/W2229898507","https://openalex.org/W2325107122","https://openalex.org/W2404547384","https://openalex.org/W2513909874","https://openalex.org/W2623352630","https://openalex.org/W2949462845","https://openalex.org/W2966755844","https://openalex.org/W3023540311","https://openalex.org/W3146803896","https://openalex.org/W3187315490","https://openalex.org/W4237826793","https://openalex.org/W6605965525","https://openalex.org/W6607770217","https://openalex.org/W6608119239","https://openalex.org/W6633449882","https://openalex.org/W6674857106","https://openalex.org/W6689295329","https://openalex.org/W6725534632","https://openalex.org/W6738861913"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2890524932","https://openalex.org/W85101999","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W1560122427","https://openalex.org/W2802808995","https://openalex.org/W2593449396","https://openalex.org/W2780789525"],"abstract_inverted_index":{"Evolutionary":[0],"approaches":[1],"are":[2],"metaheuristics":[3],"that":[4,47],"can":[5,48],"deal":[6],"with":[7,29],"the":[8,24],"effect":[9],"of":[10,39],"noise":[11],"and":[12,43,54,57,61,66],"uncertainty":[13],"in":[14,32],"data":[15,46],"using":[16],"different":[17],"strategies.":[18],"In":[19],"this":[20],"paper":[21],"is":[22,64],"depicted":[23],"method":[25],"used":[26],"to":[27,51],"cope":[28],"these":[30],"elements":[31],"a":[33,52],"dynamical":[34],"location-allocation":[35],"problem.":[36],"The":[37],"use":[38],"Monte":[40],"Carlo":[41],"sampling":[42],"statistical":[44],"historical":[45],"be":[49],"applied":[50],"single":[53],"multi-objective":[55],"problems":[56],"within":[58],"an":[59],"online":[60],"offline":[62],"scenario":[63],"tested":[65],"evaluated.":[67]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}