Главная страница
russian   english
16+
<< back

Title of Article

PERFORMANCE COMPARISON OF CLASSICAL AND GENETIC ALGORITHMS USED FOR ADAPTATION OF OPTIMAL SOLUTIONS OF THE NONSTATIONARY COMBINATORIAL OPTIMIZATION PROBLEM


Issue
5
Date
2009

Article type
scientific article
UDC
519.854.3
Pages
169-172
Keywords
genetic algorithm, adaptation, optimal solutions, combinatorial optimization, nonstationary problem


Authors
Batischev D.I.
Nizhegorodskiy gosuniversitet im. N.I. Lobachevskogo

Neymark E.A.
Nizhegorodskiy gosuniversitet im. N.I. Lobachevskogo


Abstract
The application of genetic algorithm is considered for adaptation of solutions of nonstationary optimization problems. A comparison is carried out of classical optimization methods and the genetic algorithm used in the search for optimal solutions of the nonstationary 0-1 knapsack problem.

File (in Russian)