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Multimaterial layout optimization of truss structures via an improved particle swarm optimization algorithm

机译:改进的粒子群算法在桁架结构多材料布局优化中的应用

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This paper presents an extension of the basic truss layout optimization, in which the use of various materials is considered. A novel improved version of the particle swarm optimization algorithm, namely, GEMPSO, is developed for solving this problem. The enhancement is realized by introducing two core strategies: gradient estimation and multiple subpopulation division. The efficiency and reliability of the proposed improvements are demonstrated on a set of six test problems and three truss structures. Two multimaterial layout optimizations of truss structures are performed. The numerical results reveal that the appropriate partial use of expensive stronger materials can reduce the overall cost of multimaterial structures. (C) 2019 Elsevier Ltd. All rights reserved.
机译:本文介绍了基本桁架布局优化的扩展,其中考虑了各种材料的使用。为解决该问题,开发了一种新型的粒子群优化算法改进版本,即GEMPSO。通过引入两个核心策略来实现增强:梯度估计和多亚群划分。提出的改进的效率和可靠性在一组六个测试问题和三个桁架结构上得到了证明。对桁架结构进行了两种多材料布局优化。数值结果表明,适当地部分使用昂贵的强度更高的材料可以降低多材料结构的总体成本。 (C)2019 Elsevier Ltd.保留所有权利。

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