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A heuristic particle swarm optimizer for optimization of pin connected structures

机译:用于优化销连接结构的启发式粒子群优化器

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摘要

This paper presents a heuristic particle swarm optimizer (HPSO) for optimum design of pin connected structures. The algorithm is based on the particle swarm optimizer with passive congregation (PSOPC) and a harmony search (HS) scheme. The HPSO algorithm handles the problem-specific constraints using a 'fly-back mechanism' method, and the harmony search scheme deals with the variable constraints. The method is verified and compared with the PSO and PSOPC algorithms used for the designs of five planar and spatial truss structures. The results show that the HPSO algorithm can effectively accelerate the convergence rate and can more quickly reach the optimum design than the two other algorithms.
机译:本文提出了一种启发式粒子群优化器(HPSO),用于销连接结构的优化设计。该算法基于具有被动会聚(PSOPC)和和声搜索(HS)方案的粒子群优化器。 HPSO算法使用“反跳机制”方法处理特定于问题的约束,并且和声搜索方案处理可变约束。对该方法进行了验证,并与用于五个平面和空间桁架结构设计的PSO和PSOPC算法进行了比较。结果表明,与其他两种算法相比,HPSO算法可以有效地提高收敛速度,并且可以更快地达到最优设计。

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