arXiv · cond-mat/0112142
Boosting search by rare events
Abstract
Randomized search algorithms for hard combinatorial problems exhibit a large variability of performances. We study the different types of rare events which occur in such out-of-equilibrium stochastic processes and we show how they cooperate in determining the final distribution of running times. As a byproduct of our analysis we show how search algorithms are optimized by random restarts.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Andrea Montanari, Riccardo Zecchina. 2001-12-19. Boosting search by rare events. https://doi.org/10.1103/physrevlett.88.178701
Cite the original work for its findings. Save a collection to share your selection of sources.