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X-Architecture Steiner Minimal Tree Construction Based on Discrete Differential Evolution

机译:基于离散差分演化的X架构施泰纳最小树施工

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As the best connection model for the multi-pin net of the non-Manhattan architecture global routing problem, the X-architecture Steiner Minimum Tree (XSMT) construction is a Non-deterministic Polynomial hard (NP-hard) problem. The Differential Evolution (DE) algorithm has shown good application effect in solving various NP-hard problems. For this reason, based on the idea of DE algorithm, this paper proposes an XSMT construction algorithm for solving this problem. First of all, because the traditional DE algorithm is designed for continuous problems, the optimization ability is limited in solving discrete problems. This paper proposes a novel crossover operator and mutation operator. At the same time, in order to maintain the effectiveness of the evolutionary algorithm, an Edge-to-Point coding strategy suitable for evolutionary algorithms is proposed to better preserve the optimal substructure of the population. Finally, in order to speed up the convergence speed and quality of the algorithm, this paper proposes an initial solution based on the minimum tree generation algorithm. Experiments show that the effectiveness of the proposed algorithm and related strategies can construct a high-quality XSMT solution.
机译:作为非曼哈顿架构全局路由问题的多针网络的最佳连接模型,X-architecture Steiner最小树(XSMT)构造是非确定性多项式硬(NP-Hard)问题。差分进化(DE)算法在解决各种NP难题方面表明了良好的应用效果。因此,基于DE算法的思想,本文提出了一种解决这个问题的XSMT施工算法。首先,由于传统的DE算法设计用于持续问题,所以优化能力受到解决离散问题的限制。本文提出了一种新型交叉操作员和突变算子。同时,为了保持进化算法的有效性,提出了适用于进化算法的边缘编码策略,以更好地保留群体的最佳子结构。最后,为了加速算法的收敛速度和质量,本文提出了一种基于最小树生成算法的初始解决方案。实验表明,所提出的算法和相关策略的有效性可以构建一种高质量的XSMT解决方案。

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