Hybrid differential evolution with multiplier updating method for nonlinear constrained optimization problems

In this paper, we introduce hybrid differential evolution with a multiplier updating method to solve constrained optimization problems. An adaptive scheme for penalty parameters is involved in the proposed algorithm so that smaller penalty parameters can be used and does not affect the final search results. Computational examples reveal that nearly identical minimum solutions can be obtained using the proposed algorithm even under wide variation of the initial penalty parameters