Hybrid genetic algorithm and its application in structural optimization design
Xinli Bai, Yuhe Li, Kaiyun Yang · 2010
The principle of the simple genetic algorithm (SGA) is described in this paper. The SGA being taken as the global search method, and the traditional direct search method for mixed-discrete variables as the local search method, the hybrid genetic algorithm (HGA) is formed by improving the SGA. And through the introduction of penalty constraints, the problem dealing with the constraints in GA is successfully resolved. A mathematical model for structural optimization of aqueduct is established, and computer software is developed for structural optimization of large-scale aqueduct based on HGA, finally the optimal solution is obtained. As compared to the original design, the optimal design saves more than 20% of the engineering investment, and was adopted by Design Institute. The results show that the feasibility and effectiveness of the method is worth further popularization.