{"id":"https://openalex.org/W2761283610","doi":"https://doi.org/10.1109/cscwd.2017.8066721","title":"A GPU-based parallel MAX-MIN Ant System algorithm with grouped roulette wheel selection","display_name":"A GPU-based parallel MAX-MIN Ant System algorithm with grouped roulette wheel selection","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2761283610","doi":"https://doi.org/10.1109/cscwd.2017.8066721","mag":"2761283610"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd.2017.8066721","doi":"https://doi.org/10.1109/cscwd.2017.8066721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd.2017.8066721","pdf_url":null,"source":{"id":"https://openalex.org/S7407087873","display_name":"International Conference on Computer Supported Cooperative Work in Design (CSCWD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W2761283610"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"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/A5108002305","display_name":"Wei Hong Zhou","orcid":"https://orcid.org/0000-0002-4375-4895","observed_orcids":["https://orcid.org/0000-0002-4375-4895"]},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4391768271","display_name":"State Key Laboratory of Software Engineering","ror":"https://ror.org/01z3jn402","country_code":"CN","type":"facility","lineage":["https://openalex.org/I37461747","https://openalex.org/I4391768271"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["State Key Lab. of Software Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab. of Software Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4391768271"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100660581","display_name":"Fazhi He","orcid":"https://orcid.org/0000-0001-7016-3698","observed_orcids":["https://orcid.org/0000-0001-7016-3698","https://orcid.org/0000-0001-9167-1683","https://orcid.org/0000-0003-3573-594X"]},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4391768271","display_name":"State Key Laboratory of Software Engineering","ror":"https://ror.org/01z3jn402","country_code":"CN","type":"facility","lineage":["https://openalex.org/I37461747","https://openalex.org/I4391768271"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fazhi He","raw_affiliation_strings":["State Key Lab. of Software Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab. of Software Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4391768271"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080828666","display_name":"Zhengcheng Zhang","orcid":"https://orcid.org/0000-0003-1014-0341","observed_orcids":["https://orcid.org/0000-0003-1014-0341"]},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4391768271","display_name":"State Key Laboratory of Software Engineering","ror":"https://ror.org/01z3jn402","country_code":"CN","type":"facility","lineage":["https://openalex.org/I37461747","https://openalex.org/I4391768271"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengchang Zhang","raw_affiliation_strings":["State Key Lab. of Software Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab. of Software Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4391768271"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4398,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61032898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"360","last_page":"365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994999766349792,"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":0.9994999766349792,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/max-min-ant-system","display_name":"Max-Min Ant System","score":0.9909999966621399},{"id":"https://openalex.org/keywords/ant-colony-optimization","display_name":"ant colony optimization","score":0.7919999957084656},{"id":"https://openalex.org/keywords/gpu-acceleration","display_name":"GPU acceleration","score":0.949999988079071},{"id":"https://openalex.org/keywords/fitness-proportionate-selection","display_name":"fitness proportionate selection","score":0.9789999723434448},{"id":"https://openalex.org/keywords/pheromone-update","display_name":"pheromone updating","score":0.8730000257492065},{"id":"https://openalex.org/keywords/parallel-metaheuristics","display_name":"parallel metaheuristics","score":0.6909999847412109},{"id":"https://openalex.org/keywords/traveling-salesman-problem","display_name":"traveling salesman problem","score":0.8809999823570251}],"concepts":[{"id":"https://openalex.org/C195502155","wikidata":"https://www.wikidata.org/wiki/Q2810237","display_name":"Roulette","level":2,"score":0.9706672430038452},{"id":"https://openalex.org/C99701942","wikidata":"https://www.wikidata.org/wiki/Q5455479","display_name":"Fitness proportionate selection","level":4,"score":0.8891994953155518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.709111213684082},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5769277215003967},{"id":"https://openalex.org/C60891933","wikidata":"https://www.wikidata.org/wiki/Q796575","display_name":"Ant colony","level":3,"score":0.4786485433578491},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.4403056800365448},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3853428363800049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38390541076660156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18473565578460693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17420536279678345},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.08125355839729309},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd.2017.8066721","doi":"https://doi.org/10.1109/cscwd.2017.8066721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd.2017.8066721","pdf_url":null,"source":{"id":"https://openalex.org/S7407087873","display_name":"International Conference on Computer Supported Cooperative Work in Design (CSCWD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W180330198","https://openalex.org/W242727464","https://openalex.org/W1801849579","https://openalex.org/W1983815113","https://openalex.org/W2010793584","https://openalex.org/W2071828883","https://openalex.org/W2113720326","https://openalex.org/W2124588983","https://openalex.org/W2128283661","https://openalex.org/W2142903600","https://openalex.org/W2147178414","https://openalex.org/W2163428398","https://openalex.org/W2166445532","https://openalex.org/W2167920923","https://openalex.org/W2237203399","https://openalex.org/W2259989273","https://openalex.org/W2324108981","https://openalex.org/W2340054944","https://openalex.org/W2355814502","https://openalex.org/W2386850500","https://openalex.org/W2387603477","https://openalex.org/W2540945178","https://openalex.org/W3145765881"],"related_works":["https://openalex.org/W3000154880","https://openalex.org/W2010793584","https://openalex.org/W2128283661","https://openalex.org/W242727464","https://openalex.org/W2345839474","https://openalex.org/W2074774687","https://openalex.org/W2726676844","https://openalex.org/W1983815113","https://openalex.org/W2113720326","https://openalex.org/W879058449"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,39],"GPU-accelerated":[4],"parallel":[5,23,45,99],"MAX-MIN":[6],"Ant":[7],"System":[8],"(MMAS)":[9],"algorithm":[10,93],"based":[11],"on":[12],"an":[13],"approach":[14,30],"named":[15],"grouped":[16],"roulette":[17],"wheel":[18],"selection":[19],"(G-Roulette).":[20],"A":[21],"data":[22],"model":[24],"is":[25,66,94],"adapted":[26],"in":[27,80],"the":[28,44,59,63,69,74,81],"proposed":[29],"with":[31,76,96],"special":[32],"consideration":[33],"for":[34],"GPU":[35],"architecture.":[36],"We":[37,72],"propose":[38],"G-Roulette":[40,51,70,90],"strategy":[41,52],"to":[42,57],"enhance":[43],"computation":[46],"of":[47,83],"fitness-proportionate":[48],"selection.":[49],"The":[50],"includes":[53],"two":[54],"hierarchical":[55],"stages":[56],"choose":[58],"optimal":[60],"city.":[61],"Consequently":[62],"running":[64],"time":[65],"decreased":[67],"by":[68],"strategy.":[71],"modify":[73],"MMAS":[75,92],"dynamical":[77],"evaporation":[78],"factor":[79],"stage":[82],"pheromone":[84],"updating.":[85],"Experimental":[86],"results":[87],"show":[88],"that":[89],"enhanced":[91],"competitive":[95],"other":[97],"state-of-art":[98],"ACO":[100],"algorithms.":[101]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2017-10-20T00:00:00"}
