Differential Evolution Strategy for Constrained Global Optimization and Application to Practical Engineering Problems

In this paper, some modifications to the differential evolution strategy are proposed for the constrained global optimization problem. The scaling factor F is varied randomly and an auxiliary set is introduced to preserve the diversity of the population. The newly generated candidate population is compared to the nearest parent. The simple feasibility rule is employed to treat the constraints. The test results show that the proposed technique is an improvement in terms of accuracy and robustness