Agile Asynchronous Backtracking for Distributed Constraint Satisfaction Problems

C. Bessiere, E. Bouyakhf, Younes Mechqrane, M. Wahbi
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引用次数: 8

Abstract

Asynchronous Backtracking is the standard search procedure for distributed constraint reasoning. It requires a total ordering on the agents. All polynomial space algorithms proposed so far to improve Asynchronous Backtracking by reordering agents during search only allow a limited amount of reordering. In this paper, we propose Agile-ABT, a search procedure that is able to change the ordering of agents more than previous approaches. This is done via the original notion of termination value, a vector of stamps labelling the new orders exchanged by agents during search. In Agile-ABT, agents can reorder themselves as much as they want as long as the termination value decreases as the search progresses. Our experiments show the good performance of Agile-ABT when compared to other dynamic reordering techniques.
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分布式约束满足问题的敏捷异步回溯
异步回溯是分布式约束推理的标准搜索过程。它需要对代理进行全面排序。到目前为止提出的所有多项式空间算法都是通过在搜索期间重新排序代理来改进异步回溯的,只允许有限数量的重新排序。在本文中,我们提出了敏捷- abt,一种比以前的方法更能改变代理排序的搜索过程。这是通过终止值的原始概念完成的,终止值是一个标记代理在搜索期间交换的新订单的邮票向量。在敏捷- abt中,只要终止值随着搜索的进行而减少,代理可以随心所欲地对自己进行重新排序。实验表明,与其他动态重排序技术相比,Agile-ABT具有良好的性能。
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