Performance evaluation for Adaptive Particle Swarm Optimization over Classical Particle Swarm Optimization

Abstract: The application of the Particle Swarm Optimization (PSO) algorithm successfully applied to wide range of engineering problems. In very recent this algorithm becomes very popular due to its simplicity and effectiveness. Researchers have explored PSO algorithm and made it adaptive with dynamic problem and these modified algorithm called as Adaptive Particle Swarm Optimization (APSO) algorithm. APSO algorithm is explored in this paper. The choice of this algorithm is made over Classical Particle Swarm Optimization (CPSO) and this is explained for different benchmark functions as Test functions. In order to find out global minima APSO showed very good performance for these Test functions. This algorithm can be successfully applied to various digital communication systems for improving performance.

Keywords: Test Function; Particle swarm optimization; Adaptive particle swarm optimization;