{"id":"https://openalex.org/W2782681011","doi":"https://doi.org/10.1109/coase.2017.8256322","title":"Fast adaptive search on the line in dual environments","display_name":"Fast adaptive search on the line in dual environments","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2782681011","doi":"https://doi.org/10.1109/coase.2017.8256322","mag":"2782681011"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2017.8256322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2017.8256322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","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/A5100648251","display_name":"Junqi Zhang","orcid":"https://orcid.org/0000-0002-4465-5880"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"JunQi Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059558986","display_name":"YuHeng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YuHeng Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081318069","display_name":"MengChu Zhou","orcid":"https://orcid.org/0000-0002-5408-8752"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"MengChu Zhou","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100648251"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.19116216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"1540","last_page":"1545"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9937999844551086,"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/T12288","display_name":"Optimization and Search Problems","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.740049421787262},{"id":"https://openalex.org/keywords/symmetrization","display_name":"Symmetrization","score":0.606597900390625},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.6020362377166748},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5951628684997559},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5419699549674988},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5121035575866699},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5090658068656921},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4846211373806},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.46028202772140503},{"id":"https://openalex.org/keywords/stochastic-optimization","display_name":"Stochastic optimization","score":0.43743693828582764},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.41313305497169495},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3224230408668518},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16590499877929688},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09536641836166382}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.740049421787262},{"id":"https://openalex.org/C64999384","wikidata":"https://www.wikidata.org/wiki/Q3507967","display_name":"Symmetrization","level":2,"score":0.606597900390625},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.6020362377166748},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5951628684997559},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5419699549674988},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5121035575866699},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5090658068656921},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4846211373806},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.46028202772140503},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.43743693828582764},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.41313305497169495},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3224230408668518},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16590499877929688},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09536641836166382},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2017.8256322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2017.8256322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W138097497","https://openalex.org/W1847716059","https://openalex.org/W1946988829","https://openalex.org/W1982193504","https://openalex.org/W2001012564","https://openalex.org/W2056398894","https://openalex.org/W2064398716","https://openalex.org/W2064884466","https://openalex.org/W2070813442","https://openalex.org/W2074061969","https://openalex.org/W2089026157","https://openalex.org/W2097621701","https://openalex.org/W2118017686","https://openalex.org/W2156623949","https://openalex.org/W2157321916","https://openalex.org/W2184263948","https://openalex.org/W2318328516","https://openalex.org/W2586970654","https://openalex.org/W6664592564","https://openalex.org/W6668212253","https://openalex.org/W6673094324","https://openalex.org/W6699703065"],"related_works":["https://openalex.org/W2754042640","https://openalex.org/W2074849352","https://openalex.org/W2029780455","https://openalex.org/W2473365728","https://openalex.org/W2964072642","https://openalex.org/W4300193992","https://openalex.org/W2336702490","https://openalex.org/W148042662","https://openalex.org/W2964013457","https://openalex.org/W2075899011"],"abstract_inverted_index":{"A":[0,36],"stochastic":[1,34,52],"point":[2,16,53],"location":[3,54],"problem":[4],"considers":[5],"that":[6,173],"a":[7,18,23,33,51,94,101,109,114,119,126,152],"learning":[8],"mechanism":[9],"(agent,":[10],"algorithm,":[11],"etc.)":[12],"searches":[13],"the":[14,44,65,81,88,131,174],"target":[15],"on":[17],"one-dimensional":[19],"domain":[20],"by":[21,138],"operating":[22],"controlled":[24,153],"random":[25,154],"walk":[26,155],"after":[27],"receiving":[28],"some":[29],"direction":[30],"information":[31],"from":[32],"environment.":[35],"method":[37],"named":[38],"Adaptive":[39,135],"Step":[40,136],"Search":[41],"has":[42],"been":[43],"fastest":[45],"algorithm":[46,147],"so":[47],"far":[48],"for":[49],"solving":[50],"problem,":[55],"which":[56,87],"can":[57],"be":[58],"applied":[59],"in":[60,86,108,156,181],"Particle":[61],"Swarm":[62],"Optimization":[63],"(PSO),":[64],"establishment":[66],"of":[67,83,90,140],"epidemic":[68],"models":[69],"and":[70,142,159,162,179],"many":[71],"other":[72],"scenarios.":[73],"However,":[74],"its":[75],"application":[76],"is":[77,97,116,148,177],"theoretically":[78],"restrained":[79],"within":[80],"range":[82],"informative":[84,158],"environment":[85,92,111],"probability":[89,115],"an":[91],"providing":[93],"correct":[95],"suggestion":[96],"strictly":[98],"bigger":[99],"than":[100,118],"half.":[102,120],"Namely,":[103],"it":[104],"does":[105],"not":[106],"work":[107],"deceptive":[110,160],"where":[112],"such":[113],"less":[117],"In":[121],"this":[122],"paper,":[123],"we":[124],"present":[125],"novel":[127],"promotion":[128],"to":[129,150,163],"overcome":[130],"difficult":[132],"issue":[133],"facing":[134],"Search,":[137],"means":[139],"symmetrization":[141],"buffer":[143],"techniques.":[144],"The":[145],"new":[146],"able":[149],"operate":[151],"both":[157],"environments":[161],"converge":[164],"eventually":[165],"without":[166],"performance":[167],"loss.":[168],"Finally,":[169],"experimental":[170],"results":[171],"demonstrate":[172],"proposed":[175],"scheme":[176],"efficient":[178],"feasible":[180],"dual":[182],"environments.":[183]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}