Disco—Novo—GoGo: Integrating Local Search and Complete Search with Restarts

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.

Authors

• Meinolf Sellmann
• Carlos Ansótegui Ramón Béjar

Keywords

No keywords are indexed for this paper.