摘要
以获取最大基频为目标,使用遗传算法对输电铁塔进行了形状优化。鉴于传统遗传算法在求解复杂优化问题时存在早熟和稳定性差的缺点,提出一种新的适应性策略,包括新的选择机制的设计以及动态交叉、变异概率的选取,提高了算法的性能,并针对自主优化程序容易出现的几个问题,给出了解决方案。最后通过一个108杆的塔架算例证明本文方法行之有效。
To acquire the maximum fundamental frequency, the transmission tower shape is optimized by genetic algorithm. Considering that there are some disadvantages such as premature convergence and low robustness in solving complex optimization problems with standard genetic algorithm, a new adaptive strategy is proposed to improve the performance of the algorithm,including the design for selection operator and the method of selecting dynamic crossover probability and mutation probability. Then,a solution is put forward for several problems in independent optimization program. Finally,a tower with 108 bars is employed to demonstrate the feasibility and effectiveness of the method.
出处
《电力学报》
2009年第1期16-19,共4页
Journal of Electric Power
关键词
动力学
遗传算法
形状优化
适应性
dynamics
genetic algorithm
shape optimization
adaptation
