Study on Shape Optimization of Transmission Tower Based on Genetic Algorithm
The transmission tower shape can be optimized by genetic algorithm to acquire the maximum fundamental frequency, 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 mechanism and the method of selecting both dynamic crossover and mutation probability. Then a solution is put forward for several problems in independent optimization program. Finally, a tower with 108 bars is designed to demonstrate the feasibility and effectiveness of the method.
transmission tower shape optimization genetic algorithm
FengLin Gan XueNing Zhou
College of Civil Engineering Northeast Dianli University Jilin, China
国际会议
太原
英文
225-227
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）