{"title":"一种结合并行处理机制的差分进化方法","authors":"Dong-Hyun Lim, Hoang N. Luong, C. Ahn","doi":"10.1109/IWISA.2010.5473449","DOIUrl":null,"url":null,"abstract":"In this paper, we introduce the parallel mechanism to the Differential Evolution (DE). Differential Evolution algorithm suffers from the problem that individuals gather in a single point and cannot escape the basin of a local optimum. We propose the parallel processing as a solution to this problem. Parallel processing helps DE maintain more than one best individual (attractor). Different attractors help DE expand its search towards various directions. We name our approach a differential evolution algorithm processed in the parallel fashion (P-DE). P-DE, when compared with the original DE in various test problems, exhibits its superior performance.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"139 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Novel Differential Evolution Incorporated with Parallel Processing Mechanism\",\"authors\":\"Dong-Hyun Lim, Hoang N. Luong, C. Ahn\",\"doi\":\"10.1109/IWISA.2010.5473449\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we introduce the parallel mechanism to the Differential Evolution (DE). Differential Evolution algorithm suffers from the problem that individuals gather in a single point and cannot escape the basin of a local optimum. We propose the parallel processing as a solution to this problem. Parallel processing helps DE maintain more than one best individual (attractor). Different attractors help DE expand its search towards various directions. We name our approach a differential evolution algorithm processed in the parallel fashion (P-DE). P-DE, when compared with the original DE in various test problems, exhibits its superior performance.\",\"PeriodicalId\":298764,\"journal\":{\"name\":\"2010 2nd International Workshop on Intelligent Systems and Applications\",\"volume\":\"139 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWISA.2010.5473449\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2010.5473449","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel Differential Evolution Incorporated with Parallel Processing Mechanism
In this paper, we introduce the parallel mechanism to the Differential Evolution (DE). Differential Evolution algorithm suffers from the problem that individuals gather in a single point and cannot escape the basin of a local optimum. We propose the parallel processing as a solution to this problem. Parallel processing helps DE maintain more than one best individual (attractor). Different attractors help DE expand its search towards various directions. We name our approach a differential evolution algorithm processed in the parallel fashion (P-DE). P-DE, when compared with the original DE in various test problems, exhibits its superior performance.
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