Monte Carlo solution of combinatorial optimization problems


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

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.

About the authors

S. A. Rashkovskiy

Ishlinskii Institute for Problems in Mechanics

Author for correspondence.
Email: rash@ipmnet.ru
Russian Federation, Moscow, 119526

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2016 Pleiades Publishing, Ltd.