摘要
用评估函数法构造了适用于遗传算法求解的复合材料结构多目标优化问题的等价表达形式,给出了离散变量与连续变量混合优化问题解的染色体表示。研究了粗粒并行遗传算法和细粒并行遗传算法在本类问题中应用的优劣。给出的数值实验表明:粗粒并行遗传算法对天线罩等复合材料结构的优化设计具有更好的适应性和鲁棒性。具有很好的应用前景。
Equal forms with multiobjective function optimization of composite structure, which is suitable for genetic algorithm solving, is constructed. Expression of optimal problem with chromosome including discrete mixed with continuous variables are established. Relative advantages and disadvantages of finegrained PGA comparing with coarsegrained PGA are given out. The research founding indicate that coarsegrained PGA has the better adaptability and robustness in solving the problem of composite structure optimization.
出处
《航空学报》
EI
CAS
CSCD
北大核心
2005年第2期158-161,共4页
Acta Aeronautica et Astronautica Sinica
关键词
多目标优化
天线罩
蜂窝夹心结构
并行遗传算法
multi-objective function optimization
radome
honeycomb sandwich structure
PGA