Z. Guan, Chuangjian Wang, Jinguo Huang, Lizhi Wan, X. Shao
{"title":"Optimization of manufacturing systems using Genetic Search and Muti-resolution simulation","authors":"Z. Guan, Chuangjian Wang, Jinguo Huang, Lizhi Wan, X. Shao","doi":"10.1109/ICCA.2010.5524439","DOIUrl":null,"url":null,"abstract":"This paper presents a method for the optimization of manufacturing systems by using Genetic Search and Multi-level Modeling Multi-resolution Simulation. The method can realize genetic optimization for manufacturing systems by using multi-resolution simulation which is based on the multi-level modeling. This paper focuses on the design of the genetic optimization searching algorithm and the optimization of a complex manufacturing system, through the comprehensive use of relevant methods in order to optimize in parallel the target system's structure parameters and operational behaviors with a reasonable time-effectiveness performance.","PeriodicalId":155562,"journal":{"name":"IEEE ICCA 2010","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE ICCA 2010","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCA.2010.5524439","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper presents a method for the optimization of manufacturing systems by using Genetic Search and Multi-level Modeling Multi-resolution Simulation. The method can realize genetic optimization for manufacturing systems by using multi-resolution simulation which is based on the multi-level modeling. This paper focuses on the design of the genetic optimization searching algorithm and the optimization of a complex manufacturing system, through the comprehensive use of relevant methods in order to optimize in parallel the target system's structure parameters and operational behaviors with a reasonable time-effectiveness performance.