{"id":"https://openalex.org/W2829628697","doi":"https://doi.org/10.1145/3205651.3205706","title":"Well placement optimization for carbon dioxide capture and storage via CMA-ES with mixed integer support","display_name":"Well placement optimization for carbon dioxide capture and storage via CMA-ES with mixed integer support","publication_year":2018,"publication_date":"2018-07-06","ids":{"openalex":"https://openalex.org/W2829628697","doi":"https://doi.org/10.1145/3205651.3205706","mag":"2829628697"},"language":"en","primary_location":{"id":"doi:10.1145/3205651.3205706","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3205651.3205706","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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/A5023697905","display_name":"Atsuhiro Miyagi","orcid":"https://orcid.org/0000-0002-7729-8496"},"institutions":[{"id":"https://openalex.org/I144851764","display_name":"Taisei (Japan)","ror":"https://ror.org/015cafh73","country_code":"JP","type":"company","lineage":["https://openalex.org/I144851764"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Atsuhiro Miyagi","raw_affiliation_strings":["Taisei Corporation, Yokohama, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Taisei Corporation, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I144851764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038757231","display_name":"Youhei Akimoto","orcid":"https://orcid.org/0000-0003-2760-8123"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Youhei akimoto","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050128696","display_name":"Hajime Yamamoto","orcid":"https://orcid.org/0000-0001-6327-6803"},"institutions":[{"id":"https://openalex.org/I144851764","display_name":"Taisei (Japan)","ror":"https://ror.org/015cafh73","country_code":"JP","type":"company","lineage":["https://openalex.org/I144851764"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hajime Yamamoto","raw_affiliation_strings":["Taisei Corporation, Yokohama, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Taisei Corporation, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I144851764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023697905"],"corresponding_institution_ids":["https://openalex.org/I144851764"],"apc_list":null,"apc_paid":null,"fwci":1.9648,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.83684211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1696","last_page":"1703"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9998999834060669,"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/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9998999834060669,"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/T11302","display_name":"CO2 Sequestration and Geologic Interactions","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10491","display_name":"Enhanced Oil Recovery Techniques","score":0.9957000017166138,"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/integer-programming","display_name":"Integer programming","score":0.7378796339035034},{"id":"https://openalex.org/keywords/cma-es","display_name":"CMA-ES","score":0.6863014698028564},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6271141767501831},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.5235721468925476},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5206841230392456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5131831765174866},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4576108157634735},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.4472700357437134},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.42765650153160095},{"id":"https://openalex.org/keywords/evolution-strategy","display_name":"Evolution strategy","score":0.3700084090232849},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3519511818885803},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24049469828605652},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.13856366276741028}],"concepts":[{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.7378796339035034},{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.6863014698028564},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6271141767501831},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.5235721468925476},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5206841230392456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5131831765174866},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4576108157634735},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.4472700357437134},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.42765650153160095},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.3700084090232849},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3519511818885803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24049469828605652},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.13856366276741028},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3205651.3205706","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3205651.3205706","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1582147555","https://openalex.org/W1584790380","https://openalex.org/W1605438009","https://openalex.org/W1964458192","https://openalex.org/W2057597961","https://openalex.org/W2059654270","https://openalex.org/W2087142191","https://openalex.org/W2104578628","https://openalex.org/W2112036188","https://openalex.org/W2128563800","https://openalex.org/W2138537392","https://openalex.org/W2142168060"],"related_works":["https://openalex.org/W1492325323","https://openalex.org/W1579744901","https://openalex.org/W2510724351","https://openalex.org/W3087341323","https://openalex.org/W2465356436","https://openalex.org/W2552260697","https://openalex.org/W2078076985","https://openalex.org/W2592891920","https://openalex.org/W2734610626","https://openalex.org/W1925942709"],"abstract_inverted_index":{"Carbon":[0],"dioxide":[1],"Capture":[2],"and":[3,98,136,155,187],"Storage":[4],"(CCS)":[5],"is":[6,24,34,45,55,68],"a":[7,25,35,56,76,102,141],"viable":[8],"technique":[9],"for":[10,49,140],"reducing":[11],"CO2":[12,30],"emitted":[13],"to":[14,28,47,92,116,132],"the":[15,66,86,93,110,133,147,160,163,180,185,188,191],"atmosphere.":[16],"A":[17],"simulation":[18],"based":[19],"optimization":[20,60,94,177,193],"of":[21,37,88,90,95,112,166,175,190],"well":[22,50,71,96,134],"placement":[23,51,72,97,135],"promising":[26,128],"solution":[27],"geologic":[29],"storage":[31],"(GCS),":[32],"which":[33],"part":[36],"CCS.":[38],"Covariance":[39],"matrix":[40],"adaptation":[41],"evolution":[42],"strategy":[43],"(CMA-ES)":[44],"considered":[46],"apply":[48],"problem":[52,73,139],"because":[53],"it":[54],"state-of-the-art":[57],"black-box":[58],"continuous":[59],"algorithm.":[61],"However,":[62],"insufficient":[63],"search":[64,168],"by":[65],"algorithm":[67],"anticipated":[69],"since":[70],"often":[74],"forms":[75],"mixed":[77,103,121,181],"integer":[78,104,118,122,182],"programming":[79,105,123],"problem.":[80,106,194],"In":[81],"this":[82],"paper,":[83],"we":[84,108],"investigate":[85,109],"use":[87],"variants":[89,129,161],"CMA-ES":[91,148,186],"injection":[99,137],"schedule":[100],"as":[101],"First":[107],"effect":[111],"each":[113],"algorithmic":[114],"component":[115],"treat":[117],"variables":[119],"on":[120],"test":[124],"functions.":[125],"Then,":[126],"some":[127,173],"are":[130],"applied":[131],"scheduling":[138],"CCS":[142],"project.":[143],"We":[144,170],"observed":[145],"that":[146],"with":[149],"step-size":[150],"lower":[151],"bound":[152],"behaved":[153],"robust":[154],"found":[156],"better":[157],"solutions":[158],"than":[159],"without":[162],"bound,":[164],"independently":[165],"initial":[167],"points.":[169],"bring":[171],"up":[172],"issues":[174],"current":[176],"framework":[178],"including":[179],"support":[183],"in":[184],"formulation":[189],"GCS":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}