Parallel Multi-Swarm PSO Based on K-Medoids and Uniform Design
نویسندگان
چکیده
منابع مشابه
Parallel Multi-Swarm PSO Based on K-Medoids and Uniform Design
PAM (Partitioning around Medoid) is introduced to divide the swarm into several different subpopulations. PAM is one of k-medoids clustering algorithms based on partitioning methods. It attempts to divide n objects into k partitions. This algorithm overcomes the drawbacks of being sensitive to the initial partitions in kmeans algorithm. In the parallel PSO algorithms, the swarm needs to be divi...
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This paper proposes a novel optimization technique for the closed-loop controller design of a boost type DC-DC converter based on the Particle Swarm Optimization (PSO) algorithm. The design of the closedloop control parameters is framed as an optimization task such that the PSO algorithm can identify the controller parameters. An appropriate fitness function is then derived for the required obj...
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S.Keerthana1, Mrs. S. Akila2 1Research Scholar, Department of Computer Science, Vellalar College for Women, Erode, Tamilnadu, India 2Assistant Professor, Dept. of Computer Science, Vellalar College for Women, Erode, Tamilnadu, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Clustering is a...
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The Particle Swarm Optimization (PSO) Algorithm is one of swarm intelligence optimization algorithms. Usually the population’s values of PSO algorithm are random which leads to random distribution of search quality and search velocity. This paper presents PSO based on uniform design (UD). UD is widely used in various applications and introduced to generate an initial population, in which the po...
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ژورنال
عنوان ژورنال: Research Journal of Applied Sciences, Engineering and Technology
سال: 2013
ISSN: 2040-7459,2040-7467
DOI: 10.19026/rjaset.5.4699