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We established a multi-target optimization model based on the scheduling data of a discrete manufacturing company. In order to optimize the local effect of the scheduling model, we proposed an improved genetic algorithm with local search (GALS). The results of the experiments show that GALS is far superior to the current genetic algorithm scheduling in terms of the number and quality of scheduling solutions. Compared with the current scheduling strategy of the enterprise, the scheduling strategy given by GALS achieved an average improvement of 29.61% in minimizing completion time, achieved 44.8% in minimizing transportation time, and achieved 44.64% in machine load balancing. <\/jats:p>","DOI":"10.1142\/s0218126622502796","type":"journal-article","created":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T09:45:21Z","timestamp":1654076721000},"source":"Crossref","is-referenced-by-count":6,"title":["Genetic Algorithm with Local Search for the Multi-Target Scheduling in Flexible Manufacturing System"],"prefix":"10.1142","volume":"31","author":[{"given":"Hao","family":"Wang","sequence":"first","affiliation":[{"name":"National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Big Data Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, P.\u00a0R.\u00a0China"}]},{"given":"Yujue","family":"Wang","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Big Data Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, P.\u00a0R.\u00a0China"}]},{"given":"Xianwei","family":"Lv","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Big Data Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0782-0450","authenticated-orcid":false,"given":"Chen","family":"Yu","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Big Data Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, P.\u00a0R.\u00a0China"}]},{"given":"Hai","family":"Jin","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Big Data Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, P.\u00a0R.\u00a0China"}]}],"member":"219","published-online":{"date-parts":[[2022,8,30]]},"reference":[{"key":"S0218126622502796BIB001","doi-asserted-by":"publisher","DOI":"10.1016\/j.jii.2017.04.005"},{"key":"S0218126622502796BIB002","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2018.1444806"},{"key":"S0218126622502796BIB003","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2005.09.001"},{"key":"S0218126622502796BIB004","doi-asserted-by":"publisher","DOI":"10.1111\/itor.12199"},{"key":"S0218126622502796BIB005","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2014.03.018"},{"key":"S0218126622502796BIB006","doi-asserted-by":"publisher","DOI":"10.1108\/17410380710743761"},{"key":"S0218126622502796BIB007","first-page":"67","volume":"1","author":"Nayak N. 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