Amoshahy, Mohammad Javad

[ 1 ] - An Improved Particle Swarm Optimizer Based on a Novel Class of Fast and Efficient Learning Factors Strategies

The particle swarm optimizer (PSO) is a population-based metaheuristic optimization method that can be applied to a wide range of problems but it has the drawbacks like it easily falls into local optima and suffers from slow convergence in the later stages. In order to solve these problems, improved PSO (IPSO) variants, have been proposed. To bring about a balance between the exploration and ex...