A self-adaptive harmony PSO search algorithm and its performance analysis
A self-adaptive harmony particle swarm optimization search algorithm is proposed. PSO algorithm is utilized to initial the harmony memory (HM). Pitch adjusting rate (PAR) and distance bandwidth (bw), are adjusted dynamically. A Gaussian mutation operator is added to reinforce the robustness. The convergence of the SHPSOS algorithm has been proved theoretically.
pso algorithm harmony search algorithm self-adaptive scheme mutation strategy markov model