2012 Third International Conference on Emerging Applications of Information Technology最新文献

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Mutation effects on BBO evolution in optimizing Yagi-Uda antenna design Yagi-Uda天线设计优化中BBO演化的突变效应
S. Singh, G. Sachdeva
{"title":"Mutation effects on BBO evolution in optimizing Yagi-Uda antenna design","authors":"S. Singh, G. Sachdeva","doi":"10.1109/EAIT.2012.6407859","DOIUrl":"https://doi.org/10.1109/EAIT.2012.6407859","url":null,"abstract":"Biogeography-Based Optimization (BBO) is one of the recently developed population based algorithms which has shown impressive performance over other Evolutionary Algorithms (EAs). BBO is based on the study of geographical distribution of biological organism over space and time. The solutions for problem under consideration are named as habitats whereas features sharing among them is called migration. Migration operation is carried out by copying the value(s) of constituent variables, termed as Suitability Index Variables (SIVs), from one to another candidate solution, i.e. habitat, based on Habitat Suitability Index (HSI). Migration may lead to same types of habitats that number is to be reduced with the help of mutation operator. Mutation is a probabilistic operator that randomly modifies SIVs based on the habitats a priori species count. Therefore, mutation operator plays a very vital role in BBO convergence. In this paper, BBO algorithm is applied to optimize the length and spacing for Yagi-Uda antenna for maximum gain with different mutation options. The results obtained with mutation operators and rates are compared for faster convergence of BBO algorithm and the best results are tabulated in the ending sections of the paper.","PeriodicalId":194103,"journal":{"name":"2012 Third International Conference on Emerging Applications of Information Technology","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125007956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Autonomic Cloud computing: Open challenges and architectural elements 自主云计算:开放的挑战和架构元素
R. Buyya, R. Calheiros, Xiaorong Li
{"title":"Autonomic Cloud computing: Open challenges and architectural elements","authors":"R. Buyya, R. Calheiros, Xiaorong Li","doi":"10.1109/EAIT.2012.6407847","DOIUrl":"https://doi.org/10.1109/EAIT.2012.6407847","url":null,"abstract":"As Clouds are complex, large-scale, and heterogeneous distributed systems, management of their resources is a challenging task. They need automated and integrated intelligent strategies for provisioning of resources to offer services that are secure, reliable, and cost-efficient. Hence, effective management of services becomes fundamental in software platforms that constitute the fabric of computing Clouds. In this direction, this paper identifies open issues in autonomic resource provisioning and presents innovative management techniques for supporting SaaS applications hosted on Clouds. We present a conceptual architecture and early results evidencing the benefits of autonomic management of Clouds.","PeriodicalId":194103,"journal":{"name":"2012 Third International Conference on Emerging Applications of Information Technology","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121082872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 107
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