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中文摘要：
将一种采用精英控制策略和动态拥挤方法用于快速非支配排序遗传算法（NSGA-Ⅱ），并应用到风力机叶片的优化研究中，获得了一种新颖的风力机叶片多目标优化设计方法．作为应用算例，以设计风速下的功率系数最大和叶片质量最小为优化目标，用该方法设计了5MW大型风力机叶片．优化结果表明，此算法在处理风力机多目标优化问题取得了良好的效果，给出的是一个Pareto最优解集，而不是传统优化方法追求的单个最优解，为风力机多目标优化设计提供新的思路和通用的算法．
英文摘要：
The non-dominated sorting genetic algorithm was improved with controlled elitism and dynamic crowding distance, obtaining a novel multi-objective optimization design algorithm for wind turbine blades. As an example, a 5 MW wind turbine blade design, taking maximum power coefficient and minimum blade mass as the optimization objectives, was presented. It is illustrated from the optimal results that this algorithm has a good performance in handling multiobjective optimization of wind turbine and it gives a Pareto-optimal solutions set rather than the optimum solution from the conventional multi-objective optimization problems. The wind turbine blade optimization method presented provides a new idea and general algorithm for multiobjective optimization of wind turbine.
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