Monte Carlo Solution of Combinatorial Optimization Problems

S. A. Rashkovskiy
Translated by I. Ruzanova

Ishlinskii Institute for Problems in Mechanics, Russian Academy of Sciences, Moscow, 119526 Russia

Correspondence to: e-mail: rash@ipmnet.ru

Received 4 July, 2016

Abstract—A general method for solving combinatorial optimization problems based on the Metropolis algorithm is developed. The method is easy to implement, efficient, and universal. It can be applied to a broad class of poorly formalizable logical problems. An example is given of solving the problem of creating a class schedule by applying the Monte Carlo method.

DOI: 10.1134/S106456241606020X