{"id":"https://openalex.org/W2919066435","doi":"https://doi.org/10.1109/tencon.2018.8650438","title":"Reactive Hybrid Particle Swarm Optimization Based Job-shop Scheduling Problems Considering Energy Management","display_name":"Reactive Hybrid Particle Swarm Optimization Based Job-shop Scheduling Problems Considering Energy Management","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2919066435","doi":"https://doi.org/10.1109/tencon.2018.8650438","mag":"2919066435"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2018.8650438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","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/A5043570940","display_name":"Shuhei Kawaguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shuhei Kawaguchi","raw_affiliation_strings":["Graduate School of Advanced Mathematical Sciences, Meiji University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Advanced Mathematical Sciences, Meiji University, Tokyo, Japan","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022209091","display_name":"Yoshikazu Fukuyama","orcid":"https://orcid.org/0000-0002-6115-1676"},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshikazu Fukuyama","raw_affiliation_strings":["Graduate School of Advanced Mathematical Sciences, Meiji University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Advanced Mathematical Sciences, Meiji University, Tokyo, Japan","institution_ids":["https://openalex.org/I16656306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043570940"],"corresponding_institution_ids":["https://openalex.org/I16656306"],"apc_list":null,"apc_paid":null,"fwci":0.739,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79465297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"137","issue":null,"first_page":"2181","last_page":"2186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":1.0,"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"}},{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T12782","display_name":"Assembly Line Balancing Optimization","score":0.988099992275238,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7698332071304321},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.7314000725746155},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.664810061454773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5972973108291626},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5786069631576538},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.46916159987449646},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.42484280467033386},{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.4225202202796936},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.3412383496761322},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10920244455337524},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.10473096370697021}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7698332071304321},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.7314000725746155},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.664810061454773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5972973108291626},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5786069631576538},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.46916159987449646},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.42484280467033386},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.4225202202796936},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3412383496761322},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10920244455337524},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.10473096370697021},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2018.8650438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W86946307","https://openalex.org/W1527522705","https://openalex.org/W1810830047","https://openalex.org/W1964674593","https://openalex.org/W1971338172","https://openalex.org/W1984489827","https://openalex.org/W1989353689","https://openalex.org/W2011649121","https://openalex.org/W2069721696","https://openalex.org/W2076785727","https://openalex.org/W2088304441","https://openalex.org/W2094549502","https://openalex.org/W2111244700","https://openalex.org/W2150322710","https://openalex.org/W2339500526","https://openalex.org/W2766159318","https://openalex.org/W2769688087","https://openalex.org/W2786992477","https://openalex.org/W4212899374","https://openalex.org/W6603630510","https://openalex.org/W6745093872"],"related_works":["https://openalex.org/W2967782293","https://openalex.org/W2185192838","https://openalex.org/W2955323683","https://openalex.org/W1564838499","https://openalex.org/W2069961172","https://openalex.org/W26892725","https://openalex.org/W2559484340","https://openalex.org/W2165758382","https://openalex.org/W1971939018","https://openalex.org/W3155166764"],"abstract_inverted_index":{"This":[0,68],"paper":[1,69],"presents":[2],"reactive":[3],"hybrid":[4],"particle":[5],"swarm":[6],"optimization":[7,38],"based":[8],"job-shop":[9],"scheduling":[10,34,54,74],"problems":[11],"considering":[12],"energy":[13,18,25,40,47,76,93],"management.":[14],"Since":[15],"reduction":[16],"of":[17,24,39,66,86,97],"costs":[19,48,94],"is":[20,55,101,113],"important,":[21],"operational":[22],"planning":[23],"plants":[26,41],"in":[27,35,78],"factories":[28,36],"should":[29,59],"be":[30,60],"optimized.":[31,56],"However,":[32,57],"the":[33,53,63,82,98,116,125],"and":[37,75,91,111],"have":[42,49],"been":[43,50],"solved":[44],"separately.":[45],"Namely,":[46],"ignored":[51],"when":[52],"it":[58,112],"considered":[61],"from":[62],"management":[64],"point":[65],"view.":[67],"tries":[70],"to":[71,80],"optimize":[72],"production":[73],"plant":[77],"order":[79],"minimize":[81],"maximum":[83],"end":[84],"time":[85],"all":[87],"factory":[88],"operations":[89],"(makespan)":[90],"total":[92],"simultaneously.":[95],"Effectiveness":[96],"proposed":[99,117],"method":[100,118],"verified":[102,114],"through":[103],"simulations":[104],"with":[105],"10":[106,108],"jobs":[107],"machines":[109],"problem":[110],"that":[115],"can":[119],"obtain":[120],"higher":[121],"quality":[122],"solutions":[123],"than":[124],"conventional":[126],"method.":[127]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
