Application of methods of genetic algorithms for creation of a great number of Pareto in problems of multicriteria optimization

Abstract

Application of methods of genetic algorithms for creation of a great number of Pareto in problems of multicriteria optimization

Tarutin A.V., Nabatov A.V.

Incoming article date: 13.11.2015

Article is devoted to consideration of methods of multicriteria optimization across Pareto. The methods using an optimality across Pareto on the basis of genetic algorithms are considered. The description of advantages of the SPEA and SPEA2 method in relation to other the most often applied VEGA, FFGA, NSGA methods is submitted, and also the comparative analysis of the SPEA and SPEA2 methods among themselves is given.

Keywords: problem of multicriteria optimization, Pareto's great number, genetic algorithm, VEGA, FFGA, NSGA, SPEA