{"id":"https://openalex.org/W2058289954","doi":"https://doi.org/10.1109/cadcg.2007.4407950","title":"Generalized Dynamic Constraint Satisfaction Based on Extension Particle Swarm Optimization Algorithm for Collaborative Simulation","display_name":"Generalized Dynamic Constraint Satisfaction Based on Extension Particle Swarm Optimization Algorithm for Collaborative Simulation","publication_year":2007,"publication_date":"2007-10-01","ids":{"openalex":"https://openalex.org/W2058289954","doi":"https://doi.org/10.1109/cadcg.2007.4407950","mag":"2058289954"},"language":"en","primary_location":{"id":"doi:10.1109/cadcg.2007.4407950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cadcg.2007.4407950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 10th IEEE International Conference on Computer-Aided Design and Computer Graphics","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/A5101411077","display_name":"Yanchao Yin","orcid":"https://orcid.org/0000-0001-8799-7322"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanchao Yin","raw_affiliation_strings":["CAD Engineering Center, Southwest Jiaotong University, Chengdu, Sichuan, China","Southwest Jiaotong University, Chengdu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAD Engineering Center, Southwest Jiaotong University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Southwest Jiaotong University, Chengdu","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102952970","display_name":"Linfu Sun","orcid":"https://orcid.org/0000-0002-3381-3548"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linfu Sun","raw_affiliation_strings":["CAD Engineering Center, Southwest Jiaotong University, Chengdu, Sichuan, China","Southwest Jiaotong University, Chengdu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAD Engineering Center, Southwest Jiaotong University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Southwest Jiaotong University, Chengdu","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.07910321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"44","issue":null,"first_page":"541","last_page":"544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14270","display_name":"Simulation and Modeling Applications","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14270","display_name":"Simulation and Modeling Applications","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14474","display_name":"Industrial Technology and Control Systems","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.96670001745224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7886958718299866},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.7327834367752075},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.6276465654373169},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.620522141456604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5736695528030396},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.5403963923454285},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.5198267102241516},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5141378045082092},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.4969668686389923},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.45934897661209106},{"id":"https://openalex.org/keywords/adaptive-mutation","display_name":"Adaptive mutation","score":0.45816710591316223},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45785272121429443},{"id":"https://openalex.org/keywords/constraint-satisfaction","display_name":"Constraint satisfaction","score":0.4476109743118286},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4343235194683075},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.3747442364692688},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.289457231760025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19769784808158875},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.13126102089881897}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7886958718299866},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.7327834367752075},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.6276465654373169},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.620522141456604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5736695528030396},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.5403963923454285},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.5198267102241516},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5141378045082092},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.4969668686389923},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.45934897661209106},{"id":"https://openalex.org/C192122231","wikidata":"https://www.wikidata.org/wiki/Q4680754","display_name":"Adaptive mutation","level":3,"score":0.45816710591316223},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45785272121429443},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.4476109743118286},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4343235194683075},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3747442364692688},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.289457231760025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19769784808158875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13126102089881897},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cadcg.2007.4407950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cadcg.2007.4407950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 10th IEEE International Conference on Computer-Aided Design and Computer Graphics","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":4,"referenced_works":["https://openalex.org/W2000254435","https://openalex.org/W2048735347","https://openalex.org/W2152195021","https://openalex.org/W2167894932"],"related_works":["https://openalex.org/W2113650225","https://openalex.org/W2393398569","https://openalex.org/W2351868275","https://openalex.org/W2365047340","https://openalex.org/W2355013257","https://openalex.org/W2893292693","https://openalex.org/W1968287802","https://openalex.org/W4315650968","https://openalex.org/W2925176593","https://openalex.org/W4306952720"],"abstract_inverted_index":{"A":[0],"novel":[1],"adaptive":[2],"mutation":[3,92,110],"particle":[4,100,103],"swarm":[5],"optimization":[6,41,53,128],"(AMPSO)":[7],"algorithm":[8,118],"based":[9],"on":[10],"Fuzzy":[11,39],"matter-element":[12],"analysis":[13],"for":[14,63],"generalized":[15],"dynamic":[16,127],"constraints":[17,31],"satisfaction":[18],"(GDCS)":[19],"was":[20,44,70,94],"presented":[21],"to":[22,46,96,109,115,124,136],"resolve":[23],"the":[24,38,48,52,57,66,73,77,85,91,98,102,105,117],"coupling":[25],"domain":[26],"level":[27,30],"and":[28,65,79,101,121],"knowledge":[29],"introduced":[32,95],"by":[33,55],"collaborative":[34],"simulation":[35],"results.":[36],"Firstly,":[37],"relation-element":[40,62],"method":[42],"(FREOM)":[43],"used":[45],"change":[47],"solution":[49],"space":[50,54],"into":[51],"establishing":[56],"formalized":[58],"model":[59],"of":[60,81,88,139],"fuzzy":[61],"GDCS,":[64],"regulated":[67],"correlation":[68],"function":[69,75],"regarded":[71],"as":[72],"fitness":[74,107],"judging":[76],"stand":[78],"fall":[80],"particle;":[82],"Then,":[83],"in":[84,126],"implementation":[86],"process":[87],"PSO":[89],"algorithm,":[90],"mechanics":[93],"mutate":[97],"inactive":[99],"with":[104],"smallest":[106],"according":[108],"probability,":[111],"which":[112],"is":[113,134],"intended":[114],"make":[116],"converge":[119],"faster":[120],"respond":[122],"better":[123],"changes":[125],"problems;":[129],"Finally,":[130],"a":[131],"design":[132],"example":[133],"illustrated":[135],"show":[137],"effectiveness":[138],"this":[140],"proposed":[141],"method.":[142]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}