Parallel Random Search Algorithm
Lev Kazakovtsev
Broschiertes Buch

Parallel Random Search Algorithm

Of Constrained Pseudo-Boolean Optimization for Large-scale Problems

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Random search methods are implemented to solve the wide variety of the large-scale discrete optimization problems when the implementation of the exact solution approaches is impossible due to large computational demands. Initially designed for unconstrained optimization, the variant probabilities method allows us to find the approximate solution of pseudo-Boolean optimization problems with constraints. Although, in case of the large-scale problems, the computational demands are also very high and the precision of the result depends on the spent time. The rapid development of the parallel proce...