Particle Swarm Optimization Algorithm for Topological Optimization of Truss Structures
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摘要: 为了解决有应力和位移约束的桁架结构的拓扑优化问题,将微粒群算法用于桁架结构拓扑优化.用罚函数法将应力和位移约束下的结构优化问题转化为无约束优化问题,用微粒群算法迭代计算.为了证明此方法的可行性,给出了2个具有应力和位移约束的桁架结构拓扑优化的算例.计算结果表明,微粒群算法与现有算法获得的桁架结构拓扑优化结果一致.Abstract: To solve the problem of topological optimization of truss structures with stress and displacement constraints,particle swarm optimization(PSO) algorithm was adopted.With this method,the penalty function approach is applied to turn the constrained optimization problem to a no-constrained optimization problem,and then the particle swarm optimization algorithm is used to iterative calculation.Two examples of topological optimization of truss structures with stress and displacement constraints were given to show the validity of this method.The results indicate that the identical results are got by PSO and another topological optimization algorithm.
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Key words:
- particle swarm optimization /
- truss /
- penalty function /
- structural topology optimization
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