Particle Swarm Optimization with Chaotic Maps and Gaussian Mutation for Function Optimization
نویسندگان
چکیده
منابع مشابه
Particle Swarm Optimization with Chaotic Maps and Gaussian Mutation for Function Optimization
Particle swarm optimization (PSO) is a population-based stochastic optimization that has been widely applied to a variety of problems. However, it is easily trapped into the local optima and appears premature convergence during the search process. To address these problems, we propose a new particle swarm optimization by introducing chaotic maps (tent map and logistic map) and Gaussian mutation...
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ژورنال
عنوان ژورنال: International Journal of Grid and Distributed Computing
سال: 2015
ISSN: 2005-4262,2005-4262
DOI: 10.14257/ijgdc.2015.8.4.12