{"id":"https://openalex.org/W2187025652","doi":"https://doi.org/10.1109/icmlc.2015.7340890","title":"Parameter learning using ant colony optimization for minimal time cost reduction","display_name":"Parameter learning using ant colony optimization for minimal time cost reduction","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2187025652","doi":"https://doi.org/10.1109/icmlc.2015.7340890","mag":"2187025652"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2015.7340890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5056602637","display_name":"Ji Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ji Dong","raw_affiliation_strings":["School of Computer Science, Southwest Petroleum University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Southwest Petroleum University, Chengdu, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014025333","display_name":"Huan Yang","orcid":"https://orcid.org/0000-0001-6422-8643"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Yang","raw_affiliation_strings":["Southwest Petroleum University, Chengdu, CN"],"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University, Chengdu, CN","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680514","display_name":"Zhiheng Zhang","orcid":"https://orcid.org/0000-0003-1833-8344"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Heng Zhang","raw_affiliation_strings":["Southwest Petroleum University, Chengdu, CN"],"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University, Chengdu, CN","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740354","display_name":"Fan Min","orcid":"https://orcid.org/0000-0002-3290-1036"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Min","raw_affiliation_strings":["Southwest Petroleum University, Chengdu, CN"],"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University, Chengdu, CN","institution_ids":["https://openalex.org/I165745306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056602637"],"corresponding_institution_ids":["https://openalex.org/I165745306"],"apc_list":null,"apc_paid":null,"fwci":0.3723,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66081791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"26","issue":null,"first_page":"14","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9994000196456909,"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/T10320","display_name":"Neural Networks and Applications","score":0.9962000250816345,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9947999715805054,"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/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.8067543506622314},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6172093749046326},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5667846202850342},{"id":"https://openalex.org/keywords/reduct","display_name":"Reduct","score":0.5367191433906555},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4684455692768097},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4601041078567505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45487484335899353},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.44431471824645996},{"id":"https://openalex.org/keywords/cost-reduction","display_name":"Cost reduction","score":0.4271094501018524},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30849939584732056},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.10312950611114502}],"concepts":[{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.8067543506622314},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6172093749046326},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5667846202850342},{"id":"https://openalex.org/C69177213","wikidata":"https://www.wikidata.org/wiki/Q12880812","display_name":"Reduct","level":3,"score":0.5367191433906555},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4684455692768097},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4601041078567505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45487484335899353},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.44431471824645996},{"id":"https://openalex.org/C2778820799","wikidata":"https://www.wikidata.org/wiki/Q3454688","display_name":"Cost reduction","level":2,"score":0.4271094501018524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30849939584732056},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.10312950611114502},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2015.7340890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","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":20,"referenced_works":["https://openalex.org/W167016754","https://openalex.org/W1517636450","https://openalex.org/W1965766185","https://openalex.org/W1976516122","https://openalex.org/W1986537524","https://openalex.org/W1986839581","https://openalex.org/W2084812512","https://openalex.org/W2119191234","https://openalex.org/W2122937613","https://openalex.org/W2168523997","https://openalex.org/W2324770791","https://openalex.org/W2365382545","https://openalex.org/W2377752145","https://openalex.org/W2485462264","https://openalex.org/W4242464423","https://openalex.org/W4292083457","https://openalex.org/W6606837198","https://openalex.org/W6641831707","https://openalex.org/W6990322636","https://openalex.org/W7038659373"],"related_works":["https://openalex.org/W2367612946","https://openalex.org/W2029753718","https://openalex.org/W1629475725","https://openalex.org/W2545642246","https://openalex.org/W2388641516","https://openalex.org/W4384785625","https://openalex.org/W1979716082","https://openalex.org/W4242594920","https://openalex.org/W2812758604","https://openalex.org/W2087637582"],"abstract_inverted_index":{"The":[0,29],"time":[1,25,54,96,120],"cost":[2,26,55,97,121],"is":[3,32,69,81,98,104],"an":[4,43],"important":[5],"issue":[6],"in":[7],"cost-sensitive":[8],"learning.":[9],"In":[10],"this":[11],"paper,":[12],"we":[13],"study":[14],"the":[15,19,50,59,65,72,77,91,94,101,114,118],"parameter":[16],"learning":[17],"using":[18,49],"ant":[20,60,78,92],"colony":[21],"optimization":[22],"for":[23,117],"minimal":[24,119],"attribute":[27,30,122],"reduction.":[28],"set":[31],"represented":[33],"by":[34],"a":[35,84],"scatter":[36],"diagram":[37],"with":[38],"each":[39,46],"vertex":[40],"corresponding":[41],"to":[42],"attribute.":[44],"Firstly,":[45],"an-t":[47],"travels":[48],"weight":[51],"and":[52,100],"total":[53],"of":[56,74,86],"attributes.":[57],"Secondly,":[58],"deletes":[61],"redundant":[62],"attributes":[63,75],"once":[64],"positive":[66],"region":[67],"constraint":[68],"met.":[70],"Thirdly,":[71],"pheromone":[73],"that":[76,113],"has":[79],"obtained":[80],"updated.":[82],"After":[83],"number":[85],"ants":[87],"finished":[88],"their":[89],"tasks,":[90],"yielding":[93],"least":[95],"selected":[99],"optimal":[102,115],"reduct":[103],"constructed.":[105],"Experimental":[106],"results":[107],"on":[108],"four":[109],"UCI":[110],"datasets":[111],"show":[112],"parameters":[116],"reduction":[123],"are":[124],"found.":[125]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
