This article describes application of Evolutionary Algorithms to the task of Feature Selection. In particular the algorithms studies in this article are Particle Swarm Algorithm (PSO) and Genetic Algorithm (GA). The results are based on particular parameters used in experimentation. Here several parameters are analyzed for this problem on two datasets: Leukemia dataset (LIBSVM Data:Continue reading “Feature Selection Techniques using Evolutionary Algorithms”
Tag Archives: GA
Function Optimization using Genetic Algorithm and Particle Swarm Optimization-Results and Comparison
In this article some experiments and their results are discussed for minimization of Rastrigin function, a famous mathematical function used in Optimization Techniques evaluation. The experiments are performed on certain setup, parameters and system. This has been performed using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The fitness function is the given function toContinue reading “Function Optimization using Genetic Algorithm and Particle Swarm Optimization-Results and Comparison”
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