Optimization Approach for Computational Intelligence based on Hybrid PSO and DE

In this paper, combination of PSO and DE is proposed for quickly finding the global optimization solutions. The mutli-benchmark functions are used to test the performance of the proposed method. Empirical studies show that the proposed method helps in improving the union rate of the basic DE algorithm without compromising with the quality of solution. The main purpose of this cram work is to nearby the major techniques for quickly verdict the global solutions.