Multispace search for minimizing the maximum nodal degree

B. Du, J. Gu, Wei Wang, D. Tsang
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引用次数: 1

Abstract

Hajek and Sasaki (1988) showed that, for continuous traffic and packet radio network, the selection of paths that minimize the maximum nodal degree generates schedules of minimum-length. This result suggests that minimization of the maximum nodal degree provides good (although not necessarily optimal) performance in slotted networks with fixed-length packets. We give a multispace search algorithm that interplays structural operations in conjunction with a local search algorithm for the minimization of the maximum nodal degree. Structural operations disturb the environment of forming local minima, which makes multispace search a very natural approach to the problem. Experimental results indicate that this method has improved local search in terms of the solution quality and its sensitivity to the initial random assignment.
最小化最大节点度的多空间搜索
Hajek和Sasaki(1988)表明,对于连续流量和分组无线网络,选择最大节点度最小的路径会产生最小长度的调度。该结果表明,在具有固定长度数据包的槽网络中,最大节点度的最小化提供了良好的(尽管不一定是最优的)性能。我们给出了一种多空间搜索算法,该算法将结构操作与局部搜索算法相结合,以最小化最大节点度。结构运算干扰了局部极小值形成的环境,使得多空间搜索成为求解该问题的一种非常自然的方法。实验结果表明,该方法在求解质量和对初始随机分配的敏感性方面提高了局部搜索能力。
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