介绍了基因表达混乱遗传算法（GEMGA）及其在复合材料层合板结构优化设计中的实现方式，通过对槛梁采用复合材料的 CJ828前机身舱门开口加强结构的优化分析，验证了此方法的有效性。GEMGA的染色体结构中基因值可以选择不同的数据类型，并且遗传算子以基因为基本单位进行转录、选择和重组等操作，便于对铺层数、铺层角度序列、单层铺层厚度及结构的几何尺寸等变量同时进行优化；通过引入“空层”，可以在几乎不增加计算时间的情况下，实现对铺层数量和铺层角度的同时优化。因此，GEMGA在复合材料层合板铺层优化设计中具有良好的应用前景。%The application of gene expression messy genetic to optimization design of composite laminate is introduced. The method is verified by finding the best stacking sequence of the door surround structure. GEMGA emphasize relationship study of the algorithm and have high ability as well as efficiency in searching the global optimal solution. Thus it’s an appropriate method for laminate optimization. Different genes on a chromosome of GEMGA can be different types and genetic operators is based on genes. So it’s convenient to optimize the number of layers, sequence of layups, the thickness of layers and dimensions of the structure at the same time. By using a “void layer” in stacking sequence, GEMGA can optimize the stacking number and fiber angle simultaneously with little increasement of time consuming.
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