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基于Montgomery模乘算法和Montgomery模逆算法,提出了计算ECC算法实现中必需的大数模乘运算的一种新方法.新方法包括对Montgomery模逆算法的改进和对基于Montgomery模乘的RSA协处理器的修改.与扩展欧几里德算法比较,新方法在增加很少量电路规模的情况下使计算大数模逆的速度平均提高了2.2倍,与费马小定理方法比较,新方法使计算速度平均提高了7.2倍. 相似文献
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Improved non-dominated sorting genetic algorithm (NSGA)-II in multi-objective optimization studies of wind turbine blades 总被引:1,自引:0,他引:1
The non-dominated sorting genetic algorithm (NSGA) is improved with the controlled elitism and dynamic crowding distance. A novel multi-objective optimization algorithm is obtained for wind turbine blades. As an example, a 5 MW wind turbine blade design is presented by taking the maximum power coefficient and the minimum blade mass as the optimization objectives. The optimal results show that this algorithm has good performance in handling the multi-objective optimization of wind turbines, and it gives a Pareto-optimal solution set rather than the optimum solutions to the conventional multiobjective optimization problems. The wind turbine blade optimization method presented in this paper provides a new and general algorithm for the multi-objective optimization of wind turbines. 相似文献
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