{"id":"https://openalex.org/W2801412366","doi":"https://doi.org/10.3233/ica-170571","title":"A two phase hybrid algorithm with a new decomposition method for large scale optimization","display_name":"A two phase hybrid algorithm with a new decomposition method for large scale optimization","publication_year":2018,"publication_date":"2018-04-24","ids":{"openalex":"https://openalex.org/W2801412366","doi":"https://doi.org/10.3233/ica-170571","mag":"2801412366"},"language":"en","primary_location":{"id":"doi:10.3233/ica-170571","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ica-170571","pdf_url":null,"source":{"id":"https://openalex.org/S107631664","display_name":"Integrated Computer-Aided Engineering","issn_l":"1069-2509","issn":["1069-2509","1875-8835"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Integrated Computer-Aided Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103215627","display_name":"Haiyan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyan Liu","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an, Shaanxi, China","School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339104","display_name":"Yuping Wang","orcid":"https://orcid.org/0000-0001-6868-0004"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuping Wang","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an, Shaanxi, China","School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100703299","display_name":"Liwen Liu","orcid":"https://orcid.org/0000-0002-5651-1593"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liwen Liu","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an, Shaanxi, China","School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100369719","display_name":"Xiaodong Li","orcid":"https://orcid.org/0000-0003-0346-1526"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiaodong Li","raw_affiliation_strings":["School of Computer Science and IT, RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and IT, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100339104"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":3.0425,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.93123755,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"25","issue":"4","first_page":"349","last_page":"367"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9976999759674072,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/decomposition","display_name":"Decomposition","score":0.5882166028022766},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5516553521156311},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5160322189331055},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.4495932161808014},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4145090579986572},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40746787190437317},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24151471257209778},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.12447178363800049},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1154148280620575}],"concepts":[{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5882166028022766},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5516553521156311},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5160322189331055},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.4495932161808014},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4145090579986572},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40746787190437317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24151471257209778},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.12447178363800049},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1154148280620575},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3233/ica-170571","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ica-170571","pdf_url":null,"source":{"id":"https://openalex.org/S107631664","display_name":"Integrated Computer-Aided Engineering","issn_l":"1069-2509","issn":["1069-2509","1875-8835"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Integrated Computer-Aided Engineering","raw_type":"journal-article"},{"id":"pmh:oai:alma.61RMIT_INST:11248119760001341","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ICA-170571","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27516711","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27516711","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W120185646","https://openalex.org/W999207820","https://openalex.org/W1422572068","https://openalex.org/W1618946980","https://openalex.org/W1972290341","https://openalex.org/W1978970913","https://openalex.org/W1987634820","https://openalex.org/W1988585341","https://openalex.org/W1994019844","https://openalex.org/W1995972800","https://openalex.org/W1996673440","https://openalex.org/W1996936486","https://openalex.org/W2008084857","https://openalex.org/W2008316291","https://openalex.org/W2008434012","https://openalex.org/W2016493615","https://openalex.org/W2025171047","https://openalex.org/W2025425272","https://openalex.org/W2027996967","https://openalex.org/W2028379735","https://openalex.org/W2028667732","https://openalex.org/W2029547267","https://openalex.org/W2047094503","https://openalex.org/W2049460034","https://openalex.org/W2066348293","https://openalex.org/W2073808436","https://openalex.org/W2077418700","https://openalex.org/W2078617346","https://openalex.org/W2081524587","https://openalex.org/W2099655666","https://openalex.org/W2100211715","https://openalex.org/W2109472859","https://openalex.org/W2114620686","https://openalex.org/W2121429049","https://openalex.org/W2127909011","https://openalex.org/W2128990851","https://openalex.org/W2131256358","https://openalex.org/W2138537392","https://openalex.org/W2144027346","https://openalex.org/W2145228555","https://openalex.org/W2145418868","https://openalex.org/W2151340910","https://openalex.org/W2152195021","https://openalex.org/W2153233077","https://openalex.org/W2155005783","https://openalex.org/W2155164840","https://openalex.org/W2156194072","https://openalex.org/W2156566884","https://openalex.org/W2158597998","https://openalex.org/W2166518326","https://openalex.org/W2171077597","https://openalex.org/W2235345444","https://openalex.org/W2261066783","https://openalex.org/W2269275143","https://openalex.org/W2269421492","https://openalex.org/W2361778263","https://openalex.org/W2413634576","https://openalex.org/W2463419831","https://openalex.org/W2466404771","https://openalex.org/W2501115823","https://openalex.org/W2517173125","https://openalex.org/W2551895069","https://openalex.org/W2554924637","https://openalex.org/W2556694355","https://openalex.org/W2557254131","https://openalex.org/W2562277660","https://openalex.org/W2573572738","https://openalex.org/W2600802857","https://openalex.org/W2601159143","https://openalex.org/W2607933953","https://openalex.org/W2608705546","https://openalex.org/W2621244937","https://openalex.org/W2713016753","https://openalex.org/W2726849102","https://openalex.org/W2741868986","https://openalex.org/W2742350709","https://openalex.org/W2754788668","https://openalex.org/W2769744156","https://openalex.org/W2782500290","https://openalex.org/W4394777802","https://openalex.org/W4394778039","https://openalex.org/W6604879221","https://openalex.org/W6693684823","https://openalex.org/W6715296532","https://openalex.org/W6735412713","https://openalex.org/W6736924289","https://openalex.org/W6738927929","https://openalex.org/W6742145239","https://openalex.org/W6747413960","https://openalex.org/W6864281063","https://openalex.org/W6864389146"],"related_works":["https://openalex.org/W303980170","https://openalex.org/W2351491280","https://openalex.org/W2386767533","https://openalex.org/W2371447506","https://openalex.org/W2333698505","https://openalex.org/W2378736945","https://openalex.org/W2083600590","https://openalex.org/W2384023776","https://openalex.org/W2023339089","https://openalex.org/W2360441139"],"abstract_inverted_index":{"Many":[0],"real":[1,244],"world":[2,245],"problems":[3,12,186,205,235],"can":[4,71,123,136,197],"be":[5,199],"modeled":[6],"as":[7,146],"large-scale":[8],"global":[9],"optimization":[10,211],"(LSGO)":[11],"which":[13,45,70,176],"are":[14,192,228],"very":[15],"challenging":[16,164],"due":[17],"to":[18,86,102,202],"their":[19],"high":[20,22],"nonlinearity,":[21],"dimensionality":[23],"and":[24,51,54,73,82,106,112,128,142,168,183,187,206,241,247,254],"too":[25],"many":[26],"local":[27],"optimal":[28],"solutions,":[29],"especially":[30],"for":[31,48,161,181,189,224],"non-separable":[32,50,165,190],"LSGO":[33,57,166,234],"problems.":[34,58,226,261],"In":[35,59,132,148],"this":[36,133],"paper,":[37],"a":[38,65,155,171,217,243],"two":[39,177],"phase":[40],"hybrid":[41,219],"algorithm":[42,69,90,220],"is":[43,46,222,249,268],"proposed":[44,223,266],"suitable":[47],"both":[49],"separable":[52,185],"(fully":[53],"partially":[55,184],"separable)":[56],"the":[60,76,93,110,116,121,126,139,149,162,210,252,255,265,272],"first":[61,91,153],"phase,":[62,151],"we":[63,152],"design":[64,154],"self-adaptive":[66,172],"discrete":[67,98],"scan":[68,75],"quickly":[72],"roughly":[74],"search":[77,95,117,122],"space,":[78],"locate":[79],"promising":[80,130],"areas":[81],"find":[83],"good":[84],"points":[85],"start":[87],"with.":[88],"The":[89,195,262],"converts":[92],"continuous":[94],"space":[96,118],"into":[97],"one":[99],"in":[100,175,236],"order":[101],"save":[103,143],"computational":[104,144],"resources,":[105],"then":[107,169],"dynamically":[108],"restricts":[109],"upper":[111],"lower":[113],"bounds":[114],"of":[115,209],"so":[119],"that":[120],"focus":[124],"on":[125,214,230,242,258],"smaller":[127],"more":[129,269],"region.":[131],"way,":[134],"it":[135],"effectively":[137],"mitigate":[138],"premature":[140],"convergence":[141],"resources":[145],"well.":[147],"second":[150],"new":[156],"contribution-based":[157],"decomposition":[158,173,178],"method":[159],"(CBD)":[160],"most":[163,232],"problems,":[167],"propose":[170],"method,":[174],"methods":[179],"(FBG":[180],"fully":[182],"CBD":[188],"problems)":[191],"automatically":[193],"chosen.":[194],"parameters":[196],"also":[198],"self-adaptively":[200],"changed":[201],"fit":[203],"different":[204,207],"stages":[208],"process.":[212],"Based":[213],"these":[215,259],"techniques,":[216],"two-phase":[218],"(TPHA)":[221],"LGSO":[225],"Experiments":[227],"conducted":[229],"15":[231],"difficult":[233],"CEC\u2019":[237],"2013":[238],"benchmark":[239],"suite":[240],"problem,":[246],"TPHA":[248,267],"compared":[250,273],"with":[251],"best":[253],"state-of-the-art":[256,274],"algorithms":[257],"test":[260],"results":[263],"indicate":[264],"effective":[270],"than":[271],"algorithms.":[275]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
