{"title":"Improved Particle Swarm Optimization in Design of Heterogeneous Distributed System","authors":"Jin-Guo Zhao, Qing-Yun Luo","doi":"10.1109/IPTC.2010.67","DOIUrl":null,"url":null,"abstract":"In optimization of design of heterogeneous distributed system, the search space is large, and the applicable area is narrow. In this paper, we develop a new Particle Swarm Optimization (PSO) called DSPSO to solve these problems. When used on distributed system, DSPSO has high possibility to discover the applicable solution, and can get better optimal applicable solution and better average result. At the same time, this algorithm does not need any transformation of the problem, and does not rely on human-machine interaction. The tests show that this algorithm is easy to implement, easy to use and effective. It is highly valuable in similar optimization of design.","PeriodicalId":178979,"journal":{"name":"International Symposium on Information Processing and Trusted Computing","volume":"12 13","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Information Processing and Trusted Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPTC.2010.67","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In optimization of design of heterogeneous distributed system, the search space is large, and the applicable area is narrow. In this paper, we develop a new Particle Swarm Optimization (PSO) called DSPSO to solve these problems. When used on distributed system, DSPSO has high possibility to discover the applicable solution, and can get better optimal applicable solution and better average result. At the same time, this algorithm does not need any transformation of the problem, and does not rely on human-machine interaction. The tests show that this algorithm is easy to implement, easy to use and effective. It is highly valuable in similar optimization of design.
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