Simulation of the process of optimal placement of goods in stock self-service by evolutionary search algorithms

Abstract

Simulation of the process of optimal placement of goods in stock self-service by evolutionary search algorithms

A.V. Kuznetsova, V.A. Моkhov, Е.V. Turovskaya

Incoming article date: 19.02.2014

The paper contains a description of a new method for automatic generation of maps of goods placement. Map of goods placement created by the author's search algorithm. The algorithm is based on ideas of evolutionary search. The proposed algorithm works with a population of constant size, allows not use complex search methods and for a reasonable time find a solution close to the optimum.

Keywords: simulation, evolutionary computation, multicriteria optimization, genetic algorithms