A Hybrid TS-PSO Optimization Algorithm
Yudong Zhang, Lenan Wu · Journal of Convergence Information Technology · 2011
Traditional PSO is a global search algorithm while TS is a local search algorithm. In this study, we combine PSO and TS to create a novel hybrid TS-PSO algorithm which conducts both global search and local search in each iteration so that the probability of finding the optimal minima is significantly increase. Experiments on four test functions including Easom, Hump, Rosenbrock, and Rastrigin all demonstrate the success rates by TS-PSO algorithm is higher than those by GA, TS, and PSO. Therefore, the proposed TS-PSO is effective and efficient.