{"title":"基于迭代搜索的生产调度动态集成算法","authors":"Cunli Song, Xiaobing Liu, Wei Wang, Ming Huang","doi":"10.4156/JCIT.VOL5.ISSUE10.20","DOIUrl":null,"url":null,"abstract":"It is quite difficult to adapt to the changing production scheduling problem for an algorithm of a certain question. According to this, a strategy of dynamic integrated iterative search algorithm is proposed. Firstly, the relationship model of production problem and algorithm is built. Secondly, the framework of the iterative search algorithm is proposed. On the basis of these, the strategy of dynamic integrated iterative search algorithm based on multi agent is put forward, which can easily adapt to the changeable workshop production environment. The experimental results show the effectiveness and adaptability of the system.","PeriodicalId":360193,"journal":{"name":"J. Convergence Inf. Technol.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Dynamic Integrated Algorithm for Production Scheduling Based on Iterative Search\",\"authors\":\"Cunli Song, Xiaobing Liu, Wei Wang, Ming Huang\",\"doi\":\"10.4156/JCIT.VOL5.ISSUE10.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is quite difficult to adapt to the changing production scheduling problem for an algorithm of a certain question. According to this, a strategy of dynamic integrated iterative search algorithm is proposed. Firstly, the relationship model of production problem and algorithm is built. Secondly, the framework of the iterative search algorithm is proposed. On the basis of these, the strategy of dynamic integrated iterative search algorithm based on multi agent is put forward, which can easily adapt to the changeable workshop production environment. The experimental results show the effectiveness and adaptability of the system.\",\"PeriodicalId\":360193,\"journal\":{\"name\":\"J. Convergence Inf. Technol.\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"J. Convergence Inf. Technol.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4156/JCIT.VOL5.ISSUE10.20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Convergence Inf. Technol.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4156/JCIT.VOL5.ISSUE10.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic Integrated Algorithm for Production Scheduling Based on Iterative Search
It is quite difficult to adapt to the changing production scheduling problem for an algorithm of a certain question. According to this, a strategy of dynamic integrated iterative search algorithm is proposed. Firstly, the relationship model of production problem and algorithm is built. Secondly, the framework of the iterative search algorithm is proposed. On the basis of these, the strategy of dynamic integrated iterative search algorithm based on multi agent is put forward, which can easily adapt to the changeable workshop production environment. The experimental results show the effectiveness and adaptability of the system.