1. The Markov chain Monte Carlo method. An approach to approximate counting and integration;Jerrum,1996
2. The traveling salesman problem: A case study;Johnson,2003
3. Randomized Algorithms;Motwani,1995
4. Simulated Annealing beats Metropolis in combinatorial optimization;Wegener,2005