| 求解风力发电机布局问题的超启发式算法研究 |
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| 引用本文： | 迟宗正,董绍正,郭 童,任志磊,周宽久,郭 禾.求解风力发电机布局问题的超启发式算法研究[J].计算机工程与应用,2019,55(7):220-225. |
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| 作者姓名： | 迟宗正 董绍正 郭 童 任志磊 周宽久 郭 禾 |
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| 作者单位： | 大连理工大学 软件学院，辽宁 大连 116621 |
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| 摘 要： | 针对大规模问题求解效率不高、结果不理想等问题，以影响参数多变的风力发电机布局问题为研究对象，设计并实现了超启发式算法策略，底层算子用差分进化（Differential Evolution，DE）算法和适应性协方差策略（Covariance Matrix Adaptation Evolution Strategy，CMA-ES）算法，高层策略用启发式调用策略选择底层算子求解在不同场景、不同风力参数等多种情况下的风力发电机布局情况。实验将权值选择策略与DE算法、CMA-ES算法和随机调度策略进行比较，最终数据表明该策略求解风力发电布局的效果远高于其他三种。
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| 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 |
Research on Wind Farm Layout Based on Hyper-Heuristic |
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| CHI Zongzheng,DONG Shaozheng,GUO Tong,REN Zhilei,ZHOU Kuanjiu,GUO He.Research on Wind Farm Layout Based on Hyper-Heuristic[J].Computer Engineering and Applications,2019,55(7):220-225. |
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| Authors: | CHI Zongzheng DONG Shaozheng GUO Tong REN Zhilei ZHOU Kuanjiu GUO He |
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| Affiliation: | School of Software, Dalian University ofTechnology, Dalian, Liaoning 116621, China |
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| 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. |
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| Keywords: | hyper heuristic algorithm wind farm layout Differential Evolution（DE） algorithm Covariance Matrix Adaptation Evolution Strategy（CMA-ES） algorithm |
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