{"id":"https://openalex.org/W2116512182","doi":"https://doi.org/10.1109/cec.2000.870768","title":"Precast production scheduling with genetic algorithms","display_name":"Precast production scheduling with genetic algorithms","publication_year":2002,"publication_date":"2002-11-07","ids":{"openalex":"https://openalex.org/W2116512182","doi":"https://doi.org/10.1109/cec.2000.870768","mag":"2116512182"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2000.870768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2000.870768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)","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/A5015719150","display_name":"Weng Tat Chan","orcid":"https://orcid.org/0000-0001-7012-9115"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"W.T. Chan","raw_affiliation_strings":["National University of Singapore, Singapore","Nat. Univ. of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Nat. Univ. of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084214981","display_name":"Hao Hu","orcid":"https://orcid.org/0000-0002-1103-0243"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"H. Hu","raw_affiliation_strings":["National University of Singapore, Singapore","Nat. Univ. of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Nat. Univ. of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":0.811,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75697887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2","issue":null,"first_page":"1087","last_page":"1094"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9975000023841858,"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":0.9972000122070312,"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/tardiness","display_name":"Tardiness","score":0.926952600479126},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6822709441184998},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.6620080471038818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6446831226348877},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5881001949310303},{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.5573093891143799},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5410135984420776},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5091282725334167},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.49832677841186523},{"id":"https://openalex.org/keywords/precast-concrete","display_name":"Precast concrete","score":0.4981715679168701},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.4504826068878174},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4294763505458832},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23402759432792664},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1810583472251892}],"concepts":[{"id":"https://openalex.org/C2778047078","wikidata":"https://www.wikidata.org/wiki/Q82299449","display_name":"Tardiness","level":4,"score":0.926952600479126},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6822709441184998},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.6620080471038818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6446831226348877},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5881001949310303},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.5573093891143799},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5410135984420776},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5091282725334167},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.49832677841186523},{"id":"https://openalex.org/C125450124","wikidata":"https://www.wikidata.org/wiki/Q831541","display_name":"Precast concrete","level":2,"score":0.4981715679168701},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.4504826068878174},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4294763505458832},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23402759432792664},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1810583472251892},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"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/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2000.870768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2000.870768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/74308","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/74308","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W606094354","https://openalex.org/W1497256448","https://openalex.org/W1586313000","https://openalex.org/W2009702080","https://openalex.org/W2018090345","https://openalex.org/W2023971323","https://openalex.org/W2024085737","https://openalex.org/W2026541491","https://openalex.org/W2028680198","https://openalex.org/W2032257665","https://openalex.org/W2034469408","https://openalex.org/W2070537839","https://openalex.org/W2071682303","https://openalex.org/W2071840717","https://openalex.org/W2071870624","https://openalex.org/W2073078180","https://openalex.org/W2091036868","https://openalex.org/W2119225931","https://openalex.org/W2125827607","https://openalex.org/W2154168058","https://openalex.org/W2168079536","https://openalex.org/W4205938330","https://openalex.org/W6668565587"],"related_works":["https://openalex.org/W3097192092","https://openalex.org/W3029619930","https://openalex.org/W2061005265","https://openalex.org/W1980879778","https://openalex.org/W3216729967","https://openalex.org/W2967782293","https://openalex.org/W2185192838","https://openalex.org/W2902517208","https://openalex.org/W2113526966","https://openalex.org/W2955323683"],"abstract_inverted_index":{"A":[0],"flow":[1],"shop":[2],"sequencing":[3],"model":[4,25],"(FSSM)":[5],"that":[6,85],"incorporates":[7],"actual":[8],"constraints":[9],"encountered":[10],"in":[11,96],"practice":[12],"is":[13,26,88],"proposed":[14],"for":[15],"the":[16,38,62,70,78,86],"difficult":[17],"case":[18],"of":[19,64,100],"specialized":[20],"precast":[21],"production":[22],"scheduling.":[23],"The":[24,33],"solved":[27],"using":[28,53],"a":[29,54,98],"genetic":[30],"algorithm":[31],"(GA).":[32],"traditional":[34],"minimize":[35,41],"makespan":[36],"and":[37,68,80],"more":[39],"practical":[40],"tardiness":[42],"penalty":[43],"objective":[44],"functions":[45],"are":[46,58],"optimized":[47],"separately,":[48],"as":[49,51],"well":[50],"simultaneously":[52],"weighted":[55],"approach.":[56],"Experiments":[57],"conducted":[59],"to":[60],"investigate":[61],"effect":[63],"increasing":[65],"population":[66,72],"size":[67],"seeding":[69],"initial":[71],"with":[73],"heuristic":[74,82,94],"solutions.":[75,102],"Comparisons":[76],"between":[77],"GA":[79,87],"classical":[81],"rules":[83,95],"show":[84],"competitive,":[89],"if":[90],"not":[91],"better":[92],"than":[93],"discovering":[97],"set":[99],"good":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}