飞机总体协同优化中的一种混合混沌算法

Chaos-simplex-based hybrid algorithm to collaborative optimization of aircraft design

针对协同优化应用中所碰到的计算困难,分析了现有改进方式。将系统级优化转化成无约束优化问题,选择智能优化算法是一种有效的解决方法,但应注意计算量的控制.将混沌优化和单纯形法相结合,构造出一种混合混沌算法.混沌能有效地跳出局部最优解而接近全局最优点,同时利用单纯形法在混沌优化解的邻域内局部寻优.用协同优化方法对某型干线客机进行总体方案设计;同时各学科级采用序列二次规划法,系统级采用混合算法寻优.计算结果表明此方法是有效的.

Corresponding to computational difficulties encountered in the applications of CO （collaborative optimization）, existing solutions were concluded. With transformed the system level optimization to unconstrained optimization problem, intelligence optimization algorithms should be chosen, but the computational burden should be controlled. A hybrid search algorithm was composed of chaos optimization and simplex method. Chaos could escape from local minima and approach the global minima, and simplex method was used to perform the local search in the neighborhoods of chaos optimization results. It was studied how to apply the CO to the conceptual design of a trunkliner. The subsystem levels were optimized by SQP （ sequential quadratic programming）, and the system level by the hybrid search algorithm. The numeric result indicates that the approach is effective.