基于遗传算法的悬臂桩支护优化设计

Genetic Algorithms (GA) is a new outstanding evolutionary computation method to solve complex nonlinear model, it is based on natural selection and natural genetic mechanisms. In this work, GA has been applied in deep excavation retaining structure to optimize design parameters, the mathematical model of the typical pattern cantilever pile has been established; simple genetic algorithm has been improved by real coding, arithmetic crossover operator, Gaussian approximation mutation. Then, the improved GA was applied in a project, the calculated results satisfied the constraints, and the project cost has been reduced. So GA is a effective and simple method.