{"title":"基于MATLAB的并行蚁群优化算法实现","authors":"Wang Baocheng, Wang Tiane, Wang Zenghui","doi":"10.1109/GCIS.2012.62","DOIUrl":null,"url":null,"abstract":"At first the relationship between the volume of the data transmitted and the transmission time is tested and the analysis of the data shows that there is a significant linear relationship between the two in MATLAB Distributed Computing Engine. Then we give an implementation solution of the parallel ant colony optimization algorithm, and we also carried on the computation of a TSP example which shows a higher speedup and a better performance. All these show that the it is efficient and effective to use MATLAB to develop distributed computing application program.","PeriodicalId":337629,"journal":{"name":"2012 Third Global Congress on Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The Implementation of Parallel Ant Colony Optimization Algorithm Based on MATLAB\",\"authors\":\"Wang Baocheng, Wang Tiane, Wang Zenghui\",\"doi\":\"10.1109/GCIS.2012.62\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"At first the relationship between the volume of the data transmitted and the transmission time is tested and the analysis of the data shows that there is a significant linear relationship between the two in MATLAB Distributed Computing Engine. Then we give an implementation solution of the parallel ant colony optimization algorithm, and we also carried on the computation of a TSP example which shows a higher speedup and a better performance. All these show that the it is efficient and effective to use MATLAB to develop distributed computing application program.\",\"PeriodicalId\":337629,\"journal\":{\"name\":\"2012 Third Global Congress on Intelligent Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Third Global Congress on Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCIS.2012.62\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third Global Congress on Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCIS.2012.62","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Implementation of Parallel Ant Colony Optimization Algorithm Based on MATLAB
At first the relationship between the volume of the data transmitted and the transmission time is tested and the analysis of the data shows that there is a significant linear relationship between the two in MATLAB Distributed Computing Engine. Then we give an implementation solution of the parallel ant colony optimization algorithm, and we also carried on the computation of a TSP example which shows a higher speedup and a better performance. All these show that the it is efficient and effective to use MATLAB to develop distributed computing application program.
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