{"id":"https://openalex.org/W3046783204","doi":"https://doi.org/10.1145/3356998.3365768","title":"Strategy of hybrid optimization algorithms for source parameters estimation of hazardous gas in field cases","display_name":"Strategy of hybrid optimization algorithms for source parameters estimation of hazardous gas in field cases","publication_year":2019,"publication_date":"2019-11-05","ids":{"openalex":"https://openalex.org/W3046783204","doi":"https://doi.org/10.1145/3356998.3365768","mag":"3046783204"},"language":"en","primary_location":{"id":"doi:10.1145/3356998.3365768","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3356998.3365768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","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/A5101607122","display_name":"Yiduo Wang","orcid":"https://orcid.org/0000-0003-2975-2882"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiduo Wang","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427326","display_name":"Bin Chen","orcid":"https://orcid.org/0000-0002-2962-9254"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Chen","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021596402","display_name":"Zhengqiu Zhu","orcid":"https://orcid.org/0000-0002-5805-834X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengqiu Zhu","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064948822","display_name":"Chuan Ai","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan AI","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101607122"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.1118,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50173816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9983000159263611,"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/T11821","display_name":"Odor and Emission Control Technologies","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1508","display_name":"Process Chemistry and Technology"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11371","display_name":"Wind and Air Flow Studies","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7484395503997803},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.6887896656990051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.600448489189148},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.589052140712738},{"id":"https://openalex.org/keywords/traceability","display_name":"Traceability","score":0.5045675039291382},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.48015016317367554},{"id":"https://openalex.org/keywords/hybrid-algorithm","display_name":"Hybrid algorithm (constraint satisfaction)","score":0.4696594476699829},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4661732017993927},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.4624170958995819},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.420663982629776},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4127432703971863},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21363595128059387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16687709093093872},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08600208163261414}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7484395503997803},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.6887896656990051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.600448489189148},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.589052140712738},{"id":"https://openalex.org/C153876917","wikidata":"https://www.wikidata.org/wiki/Q899704","display_name":"Traceability","level":2,"score":0.5045675039291382},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.48015016317367554},{"id":"https://openalex.org/C62469222","wikidata":"https://www.wikidata.org/wiki/Q17092103","display_name":"Hybrid algorithm (constraint satisfaction)","level":5,"score":0.4696594476699829},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4661732017993927},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.4624170958995819},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.420663982629776},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4127432703971863},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21363595128059387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16687709093093872},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08600208163261414},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.0},{"id":"https://openalex.org/C176783269","wikidata":"https://www.wikidata.org/wiki/Q5164378","display_name":"Constraint logic programming","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3356998.3365768","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3356998.3365768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","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":22,"referenced_works":["https://openalex.org/W241954353","https://openalex.org/W1607085746","https://openalex.org/W1976907464","https://openalex.org/W1980793809","https://openalex.org/W1991040406","https://openalex.org/W2004233539","https://openalex.org/W2012755847","https://openalex.org/W2017278990","https://openalex.org/W2047206818","https://openalex.org/W2059651151","https://openalex.org/W2071837107","https://openalex.org/W2089273527","https://openalex.org/W2114822602","https://openalex.org/W2139987615","https://openalex.org/W2267356718","https://openalex.org/W2296974127","https://openalex.org/W2518623135","https://openalex.org/W2553399731","https://openalex.org/W2791052423","https://openalex.org/W2793268087","https://openalex.org/W4253484285","https://openalex.org/W6646814350"],"related_works":["https://openalex.org/W2392110728","https://openalex.org/W2120500820","https://openalex.org/W2018660623","https://openalex.org/W2131492669","https://openalex.org/W2931208445","https://openalex.org/W2156050405","https://openalex.org/W2188635652","https://openalex.org/W3187207211","https://openalex.org/W2067511169","https://openalex.org/W2089730342"],"abstract_inverted_index":{"Hazardous":[0],"gas":[1,83],"in":[2,144],"chemical":[3],"parks":[4],"is":[5,75],"an":[6],"important":[7],"factor":[8],"affecting":[9],"air":[10,29],"quality.":[11],"Its":[12],"emission":[13,23],"and":[14,24,33,59,67,79,155,157,162,176,189,204],"leak":[15,25],"accidents":[16,26],"have":[17,41],"gradually":[18],"attracted":[19],"people's":[20],"attention.":[21],"The":[22,108,125],"are":[27,50],"essentially":[28],"contaminant":[30],"dispersion":[31,84],"(ADS)":[32],"inverse":[34,126],"traceability":[35,127],"issues.":[36],"Many":[37],"ADS":[38,48],"modeling":[39],"methods":[40],"been":[42,138],"developed":[43],"by":[44,77,140],"researchers.":[45],"However,":[46,147],"traditional":[47],"models":[49],"difficult":[51],"to":[52,62,96,105,121],"meet":[53],"the":[54,63,99,169,195,212,215],"requirement":[55],"of":[56,94,117,197,217],"both":[57],"accuracy":[58],"efficiency.":[60],"Due":[61],"powerful":[64],"fitting":[65],"ability":[66],"fast":[68],"calculation":[69],"speed,":[70],"artificial":[71],"neural":[72,100,123],"network":[73,101],"(ANN)":[74],"used":[76],"more":[78,80],"people":[81],"for":[82],"prediction.":[85],"Of":[86],"course,":[87],"ANN":[88],"training":[89],"requires":[90],"a":[91],"large":[92],"amount":[93],"data":[95,120],"ensure":[97],"that":[98],"can":[102],"be":[103],"applied":[104],"different":[106,173],"scenarios.":[107],"Project":[109],"Prairie":[110],"Grass":[111],"dataset":[112],"provides":[113],"us":[114],"with":[115,185],"plenty":[116],"actual":[118],"experimental":[119],"train":[122],"network.":[124],"issue,":[128],"which":[129],"also":[130],"known":[131],"as":[132],"source":[133],"parameters":[134],"estimation":[135],"problem,":[136],"has":[137,152],"solved":[139],"heuristic":[141],"optimization":[142,149,161,174,182,207,219],"algorithms":[143,208],"recent":[145],"years.":[146],"single":[148,179,202],"algorithm":[150,184,187,192],"often":[151],"obvious":[153],"advantages":[154],"disadvantages,":[156],"cannot":[158],"balance":[159],"local":[160],"global":[163],"optimization.":[164],"Therefore,":[165],"this":[166],"paper":[167],"explores":[168],"hybrid":[170,198,206,218],"strategy":[171],"between":[172],"algorithms,":[175],"then":[177],"combines":[178],"particle":[180],"swarm":[181],"(PSO)":[183],"genetic":[186],"(GA)":[188],"simulated":[190],"annealing":[191],"(SA)":[193],"under":[194,209],"guidance":[196],"strategy.":[199],"Finally,":[200],"comparing":[201],"PSO":[203],"two":[205],"unified":[210],"standards,":[211],"results":[213],"proves":[214],"superiority":[216],"algorithms.":[220]},"counts_by_year":[{"year":2023,"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"}