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IJCAI 2003

Applying interchangeability techniques to the distributed breakout algorithm

Conference Paper CONSTRAINTS Artificial Intelligence

Abstract

This paper presents two methods for improving the performance of the Distributed Breakout Algorithm using the notion of interchangeability. In particular, we use neighborhood partial and full interchangeability techniques to keep conflicts localized and avoid spreading them to neighboring areas. Our experiments on distributed sensor networks show that such techniques can significantly reduce the number of cycles required to solve the problems (therefore also reduce communication and time requirements), especially on difficult problems. Moreover, the improved algorithms are able to solve a higher proportion of the test problems.

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Context

Venue
International Joint Conference on Artificial Intelligence
Archive span
1969-2025
Indexed papers
14525
Paper id
339222590916484784
v2026.09.13