A modified Differential Evolution with a random disturbance mechanism for global optimization

In this paper, a new modified Differential Evolution (DE) algorithm is proposed. A new mutation operation is used in this algorithm, besides, a random disturbance mechanism is introduced before selection operation. The proposed DE is used to solve ten typical benchmark functions and economic dispatch problem with valve-point effect. The economic dispatch problem is tested on 13-unit system and 40-unit system respectively, each case will be run 50 times. The results have been compared with the results of other algorithms. The efficiency and effectiveness of the proposed DE in global optimization is demonstrated via the simulation results.