TítolDisco – Novo – GoGo: Integrating Local Search and Complete Search with Restarts
Publication TypeConference Paper
Year of Publication2006
AuthorsSellmann M, Ansótegui C
Conference NameProceedings of the 21st National Conference on Artificial Intelligence, AAAI-2006.

A hybrid algorithm is devised to boost the performance of complete search on under-constrained problems. We suggest to use random variable selection in combination with restarts, augmented by a coarse-grained local search algorithm that learns favorable value heuristics over the course of several restarts. Numerical results show that this method can speedup complete search by orders of magnitude.