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A Particle Swarm Optimization Algorithm for Minimizing Weight of the Composite Box structure

机译:最小化复合箱体结构重量的粒子群算法

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The particle swarm optimization was applied to the optimum design of the composite box structure.The total weight of the structure was taken as the objective function.A technique of applying PSO integrated with general finite element code was developed for the optimization.Optimization was also conducted using zero-order method included in ANSYS and a comparison was made between zero-order method and PSO.Results demonstrate that PSO can find the global optimal design with higher efficiency regardless of the initial designs.for zero-order method the optimum solution is worst than the result of the PSO optimum.
机译:将粒子群算法应用于复合箱体结构的优化设计中,以结构的总重量为目标函数,开发了一种结合通用有限元代码的粒子群优化算法,进行了优化。结果表明,无论初始设计如何,PSO都能以较高的效率找到全局最优设计。对于零阶方法,最优解是最差的而不是PSO最佳化的结果。

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