Title: Towards the Natural Optimization with Particle Swarm Optimization.
Abstract: This paper shows the Particle Swarm Optimization algorithm with a Differential Evolution. Each candidate solution is sampled in the interval [?5, 5] D where D indicates the dimension of the search space, and the evolution is performed with a classical PSO algorithm and a classical DE/x/1 algorithm according to a random threshold. Moreover, this paper provides concepts to deal with non-linear optimization through the use of PSO.
Publication Year: 2012
Publication Date: 2012-01-01
Language: en
Type: article
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