Evolutionary-simulation algorithm implementation for logistic processes optimization

This paper deals with implementation of an evolutionary-simulation algorithm in the metallurgical enterprise information system. The algorithm is based on a multi-agent genetic optimization method proposed by authors in the previous work. In this method, the genetic algorithm is used for search of the effective solution, and multi-agent simulation is used to evaluate the fitness function of a particular solution. The evolutionary-simulation algorithm has been implemented on Java in the optimization module of the metallurgical enterprise information system. The algorithm has been tested in logistic processes optimization for the production of metallurgical products. During algorithm testing, recommendations have been obtained for the user to setting up the parameters of the algorithm. To achieve the rapid convergence of the algorithm, while maintaining the accuracy of the result, it is necessary to use the number of chromosomes in the generation of at least 6 chromosomes and stop the algorithm when changing at least 10 generations.