Particle Swarm-Simulated Annealing Fusion Algorithm and its Application in Function Optimization

This paper presents a non-linear inertia weight adjustment strategy of PSO algorithm (ULWPSO), and injects the SA algorithmpsilas thinking of accepting a worse by certain probability to the ULWPSO, thatpsilas the ULWPSO-SA fusion algorithm which can solve global optimal solution efficiently. Through contrasted experiment, results show the ULWPSO-SA algorithm can increase the diversity of the PSO, enhance the ability of solving overall optimal solution, own higher convergence speed and more precise convergence accuracy.