Discrete Differential Evolution Strategy and its Numerical Application
Differential evolution is a simple but powerful parallel global search optimization algorithm, which has been successfully used to solve single-objective optimization problems. In this paper, a novel discrete differential evolution strategy (D2E) is proposed to enhance the ability of solving the numerical optimization problems. D2E adopts the difference information from the binary evolutionary individuals and self-adaptive parameter adjustment to effectively explore the global solution space. The results of numerical simulations demonstrate that the proposed strategy is feasible and efficient, has the better metrics performances.
M. M. Zhang et al., "Discrete Differential Evolution Strategy and its Numerical Application", Key Engineering Materials, Vols. 439-440, pp. 540-545, 2010