Using co-line search technique to improve performance of PSO

Recently, variants of hybrid PSO algorithms are presented, but hybrid Optimization technique combining classical local line search with PSO is less focused on. In this paper, we proposed a new hybrid cooperative evolutionary algorithm by integrating local line search technique and basic PSO. The performance of our algorithm tested using four typical nonlinear optimization problems is reported and compared with that of basic PSO. Results show that performance of CLS-PSO algorithm is much better than basic PSO, and has considerable steady and robust.