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首页> 外文期刊>LIPIcs : Leibniz International Proceedings in Informatics >Merging Nodes in Search Trees: an Exact Exponential Algorithm for the Single Machine Total Tardiness Scheduling Problem
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Merging Nodes in Search Trees: an Exact Exponential Algorithm for the Single Machine Total Tardiness Scheduling Problem

机译:合并搜索树中的节点:单机总时延调度问题的精确指数算法

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This paper proposes an exact exponential algorithm for the problem of minimizing the total tardiness of jobs on a single machine. It exploits the structure of a basic branch-and-reduce framework based on the well known Lawler's decomposition property. The proposed algorithm, called branch-and-merge, is an improvement of the branch-and-reduce technique with the embedding of a node merging operation. Its time complexity is O*(2.247^n) keeping the space complexity polynomial. The branch-and-merge technique is likely to be generalized to other sequencing problems with similar decomposition properties.
机译:本文提出了一种精确的指数算法,用于将单台机器上的作业的总拖延最小化。它基于众所周知的Lawler分解特性,开发了基本的分支和归约框架的结构。所提出的称为分支合并的算法是对嵌入和合并节点合并操作的分支减少技术的一种改进。它的时间复杂度为O *(2.247 ^ n),保持空间复杂度多项式。分支合并技术可能会推广到具有类似分解特性的其他测序问题。

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