结构最优设计问题的一种新方法

A new method for optimum design of structures

给出了结构优化设计参数识别的一种新方法———格雷码加速遗传算法.研制了格雷码加速遗传算法实施的详细步骤,并对格雷码加速遗传算法的有效性和可行性进行了理论分析和实例分析.结果表明,格雷码加速遗传算法具有直观、简便、快速、适用性强等特点,是一种既可以较大概率搜索全局最优解,又能进行局部细致搜索的非线性优化方法,可广泛应用于各种结构优化设计中.

A Gray codingbased accelerating genetic algorithm (GAGA) is presented for parameter identification in the optimal design of structures, and detailed steps are developed for GAGA. The validity and feasibility of the algorithm is studied by theoretic analysis and case study. The result shows that GAGA, with the characteristics of directness, convenience, high speed, and high applicability, is a superior nonlinear optimal method that can perform locally meticulous search for the global solution with high probability, so the algorithm can be widely applied to the optimal design of various structures.