A Modified Differential Evolution for Constrained Optimization

This paper proposed a modified differential evolution algorithm (MCDE) to solve constrained optimization problems. The methods incorporated the center point of the population into the DE algorithm, and modified the crossover factor of DE algorithm and used three simple selection criteria based on feasibility to guide the search in the feasible region. The proposed approach can be easily applied, requiring no additional parameters. Simulation and comparisons based on four testing functions and one engineering example demonstrated the effectiveness, efficiency and robustness of the proposed techniques.