Depth-first iterative-deepening: an optimal admissible tree search
Artificial Intelligence
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AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
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Many problems require minimally perturbing an initial state in order to repair some violated constraints. We consider two search spaces for exactly solving this minimal perturbation repair problem: a standard, difference-based search space, and a new, commitment-based search space. Empirical results with exact search algorithms for a mincost virtual machine reassignment problem, a minimal perturbation repair problem related to server consolidation in data centers, show that the commitment-based search space can be significantly more efficient.