关键词: 超启发式算法, 风力发电机布局, 差分进化算法, 适应性协方差矩阵进化策略算法

Abstract: Aiming at low efficiency and unsatisfactory results while solving the large-scale problems, to take the wind farm layout problem with variable parameters as a study target, the strategy of hyper heuristics is designed and implemented. The paper selects the DE（Differential Evolution） algorithm and CMA-ES（Covariance Matrix Adaptation Evolution Strategy） algorithm as the low-level operators, and at the high level it uses the hyper heuristics algorithm to call the low-level operators to solve the wind farm layout problem under different complicated conditions. By contrast, the experiment data imply that the new strategy is more efficient and flexible.

Key words: hyper heuristic algorithm, wind farm layout, Differential Evolution（DE） algorithm, Covariance Matrix Adaptation Evolution Strategy（CMA-ES） algorithm