基于蚁群算法的复合材料层合板屈曲优化

摘要/Abstract

摘要： 针对蚁群算法（ACO）存在的编码方式单一、不易理解,其信息素更新公式对优化结果的依赖性强等不足进行改进，使其优化过程对最优解的依赖程度降低，避免陷入局部最优解；添加了蚂蚁路径判断模块，节省了优化的计算量；改进了算法的迭代条件，提高了运算效率.同时，将其用于复合材料层合板设计中的最小层数优化和铺层角度优化.结果表明，改进的ACO具有运算效率高、优化结果准确的特点，所得优化结果与遗传算法相同.

关键词: 信息素更新, 屈曲优化, 复合材料层合板, 蚁群算法

Abstract: Due to simple coding and strong dependence of global best value in the iterations of traditional algorithm, ants’ move method and pheromone updating strategy are modified on ant colony optimization (ACO). It was proposed to optimize the buckling design of composite plates, for the application of ACO is limited and the result is largely dependent on the global best value. After modification, the drawback of ACO is avoided and new iteration procedure is adopted in the new algorithm for higher efficiency. Examples of minimum thickness and stacking sequence optimization problems were used to demonstrate its validation and versatility. The results show that after modification the convergence process is quicker and the approach is found to give high accuracy, also the optimization results is the same as genetic algorithm (GA).

Key words: composite laminate, ant colony optimization (ACO), pheromone updating, buckling optimization

中图分类号:

李真, 陈秀华, 汪海. 基于蚁群算法的复合材料层合板屈曲优化[J]. 上海交通大学学报（自然版）, 2012, 46(05): 768-773.

LI Zhen, CHEN Xiu-Hua, WANG Hai. Buckling Optimization of Composite Laminate Using Modified Ant Colony Optimization[J]. Journal of Shanghai Jiaotong University, 2012, 46(05): 768-773.

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