The classical approach to statistical analysis is usually based upon finding values for model parameters that maximize the likelihood function. Model choice in this context is often also based on the ...

https://doi.org/10.2307/2583858 • https://www.jstor.org/stable/2583858 Copy URL The objective of this study is to use the simulated annealing method to solve ...

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 ...

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 ...

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 ...