This is a preview. Log in through your library . Abstract We present a modification of the simulated annealing algorithm designed for solving discrete stochastic optimization problems. Like the ...

Dr. James McCaffrey of Microsoft Research explains a new idea that slightly modifies standard simulated annealing by borrowing ideas from quantum mechanics. The goal of a combinatorial optimization ...

Dr. James McCaffrey of Microsoft Research shows how to implement simulated annealing for the Traveling Salesman Problem (find the best ordering of a set of discrete items). The goal of a combinatorial ...

If you want to simulate a tic-tac-toe game, that’s easy. You can evaluate every possible move in a reasonable amount of time. Simulating antennas, however, is much harder. [Rosrislav] has been ...

1- Is it possible to avoid local minima by combining a crude form of simulated annealing with backprop?<BR><BR>specifically, make the activation or weights stochastic, and gradually reduce the ...

(a) Performance of two adiabatic paths for finding the maximum independent set. (b) Performance of traditional heuristic adiabatic paths for finding independent sets. Quantum annealing, as a prominent ...