基于改进遗传算法的复合材料层合板自振频率优化设计

针对复合材料层合板设计的特点，应用改进的遗传算法研究了复合材料层合板 自振频率的优化设计问题。算例分析结果表明，本文方法具有较高的计算效率。

Optimal Design of Composite Laminates Subject to Natural Frequency Constraint Using an Improved Genetic Algorithm

The Problem of composite laminate stacking se- quence design is discrete in nature, so it is suitable for genetic algorithms. Genetic algorithms can find many near optimal solutions, while most optimization algorithms find only a single optimum. However, they often require too large computational costs to be feasible. A genetic algorithm's ability to find optimal laminate designs may be improved if the genetic algorithm takes greater advantage of all the information generated throughout the search scheme. To this end, the present paper proposes a multiple elitist scheme where the first several best laminates from the parent population may be preserved in successive generations. The improved genetic algorithm is applied for optimum design of composite laminates subject to natural frequency constraint. The proposed method is tested and proved reasonable and feasible through its application to a simple support rectangular composite laminate.