Dynamic Ordering for Asynchronous Backtracking on DisCSPs |
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Authors: | Roie Zivan Amnon Meisels |
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Affiliation: | (1) Department of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva, 84–105, Israel |
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Abstract: | An algorithm that performs asynchronous backtracking on distributed
, with dynamic ordering of agents is proposed,
. Agents propose reorderings of lower priority agents and send these proposals whenever they send assignment messages. Changes
of ordering triggers a different computation of
. The dynamic ordered asynchronous backtracking algorithm uses polynomial space, similarly to standard
. The
algorithm with three different ordering heuristics is compared to standard
on randomly generated
. A Nogood-triggered heuristic, inspired by dynamic backtracking, is found to outperform static order
by a large factor in run-time and improve the network load. |
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Keywords: | Distributed Constraint satisfaction Distributed AI Search |
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