swarm optimization

pso algorithm

benchmark functions

simulated annealing

differential evolution

harmony search

In this paper, advanced particle swarm optimization Algorithm (APSO) with improved velocity updated strategy is presented. The algorithm incorporates an improved velocity update equation so that the particles will reach the optimum point quickly and convergence is much faster than the standard PSO (SPSO) and other improved PSOs in the literature. Five benchmark functions have been selected to evaluate the efficiency of the proposed algorithm. The simulation results demonstrate that the proposed technique has remarkably improved in terms of convergence and solution quality.

Advanced Particle Swarm Optimization Algorithm with Improved Velocity Update Strategy