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首页> 外文期刊>The Structural Design of Tall and Special Buildings >Design optimization of truss structures with continuous and discrete variables by hybrid of biogeography‐based optimization and differential evolution methods
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Design optimization of truss structures with continuous and discrete variables by hybrid of biogeography‐based optimization and differential evolution methods

机译：基于生物地理学的优化和差分进化方法的混合设计，具有连续变量和离散变量的桁架结构设计

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摘要

This paper presents a hybrid BBO-DE algorithm by hybridizing biogeography-based optimization (BBO) and differential evolution (DE) methods for optimum design of truss structures with continuous and discrete variables. In BBO-DE, the migration operator of BBO method serves as a local exploiter mechanism during the search process. Besides, DE has a role of the global exploration by performing multiple search directions in the search space to preserve more diversity in the population. By embedding of DE algorithm in BBO method as a mutation mechanism, the balance between the exploration and exploitation abilities is further improved. The comparative results with some of the most recently developed methods demonstrate the fast convergence properties of the proposed algorithm and confirm its effectiveness to solve optimum design problems of truss structures with continuous and discrete variables.
机译：通过结合基于生物地理学的优化（BBO）和差分演化（DE）方法，提出了一种混合BBO-DE算法，用于具有连续和离散变量的桁架结构的优化设计。在BBO-DE中，BBO方法的迁移运算符在搜索过程中充当本地漏洞利用者机制。此外，DE通过在搜索空间中执行多个搜索方向以保持种群的更多多样性而具有全球探索的作用。通过将DE算法嵌入到BBO方法中作为一种突变机制，进一步提高了勘探开发能力之间的平衡。与一些最新开发方法的比较结果证明了该算法的快速收敛性，并证实了其解决具有连续变量和离散变量的桁架结构最佳设计问题的有效性。

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