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Optimization Design of Truss Structure Based on synchronous Cellular Genetic Algorithm

机译:基于同步蜂窝遗传算法的桁架结构优化设计

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摘要

In consideration of serious kinds of constraints and technical requirements in engineering practice, we established the mathematical model of optimization design of truss structure and proposed a synchronous cellular genetic algorithm to solve the model by bringing in synchronous mechanism to genetic algorithm. The proposed algorithm not only inherits the superiority in global search of genetic algorithm, but also equips with better search capacity and efficiency by introducing the theory of cellular automata. At last, the super performance of the proposed algorithm is proved by the results of comparative testing on an example of truss structure optimization design.
机译:考虑到工程实践中严重的限制和技术要求,我们建立了桁架结构优化设计的数学模型,提出了一种通过使同步机制与遗传算法进行同步蜂窝遗传算法来解决模型。所提出的算法不仅继承了遗传算法的全球搜索的优越性,还通过引入蜂窝自动机理论来提供更好的搜索能力和效率。最后,通过对桁架结构优化设计的示例的比较测试结果证明了所提出的算法的超级性能。

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