Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
Computers and Operations Research
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The paper deals with using modification of simulated annealing as a part for parallel computing of some typical optimization problems. We will test modified algorithm on set of testing function. The algorithm is created with knowledge taken from basic local search algorithm, tabu search and simulated annealing.