{"title":"基于遗传算法的离散事件产生模拟器的前馈超光速优化设计","authors":"J. Qudeiri, Hidehiko Yamamoto, R. Ramli","doi":"10.1504/IJAIS.2009.022003","DOIUrl":null,"url":null,"abstract":"This article formulates a new optimal design problem of a flexible transfer line with feed-forward lines (FTL-FF). The machine tools and the buffer size are included to find the optimal design of the FTL-FF that achieves a greater production rate of the FTL-FF. Machine tools with different performances are selected from a list of products available in the market. To solve this problem, a discrete event production simulator (DEPS) in conjunction with genetic algorithm (GA) is proposed. The GA methodology is based on a technique that is called multi-group arrangement method (MGAM) which arranges the genes in individuals. Numerical examples ascertained that after a number of operations based on the combination of DEPS and GA, the nearest optimal design of FTL-FF is found.","PeriodicalId":383612,"journal":{"name":"International Journal of Adaptive and Innovative Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FTL with feed-forward optimal design by discrete event production simulator with GA\",\"authors\":\"J. Qudeiri, Hidehiko Yamamoto, R. Ramli\",\"doi\":\"10.1504/IJAIS.2009.022003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article formulates a new optimal design problem of a flexible transfer line with feed-forward lines (FTL-FF). The machine tools and the buffer size are included to find the optimal design of the FTL-FF that achieves a greater production rate of the FTL-FF. Machine tools with different performances are selected from a list of products available in the market. To solve this problem, a discrete event production simulator (DEPS) in conjunction with genetic algorithm (GA) is proposed. The GA methodology is based on a technique that is called multi-group arrangement method (MGAM) which arranges the genes in individuals. Numerical examples ascertained that after a number of operations based on the combination of DEPS and GA, the nearest optimal design of FTL-FF is found.\",\"PeriodicalId\":383612,\"journal\":{\"name\":\"International Journal of Adaptive and Innovative Systems\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Adaptive and Innovative Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJAIS.2009.022003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Adaptive and Innovative Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJAIS.2009.022003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FTL with feed-forward optimal design by discrete event production simulator with GA
This article formulates a new optimal design problem of a flexible transfer line with feed-forward lines (FTL-FF). The machine tools and the buffer size are included to find the optimal design of the FTL-FF that achieves a greater production rate of the FTL-FF. Machine tools with different performances are selected from a list of products available in the market. To solve this problem, a discrete event production simulator (DEPS) in conjunction with genetic algorithm (GA) is proposed. The GA methodology is based on a technique that is called multi-group arrangement method (MGAM) which arranges the genes in individuals. Numerical examples ascertained that after a number of operations based on the combination of DEPS and GA, the nearest optimal design of FTL-FF is found.