RESEARCHOF THE GREY WOLF ALGORITHM
This article presents the results of analysis and research of Grey Wolf algorithm as well as its detailed description. A method of modifying the algorithm has been examined in the case of global optimization problem in order to improve its efficiency. The algorithm has been implemented in the classical form with customer-specified number of wolves, space dimensions, number of iterations and interval of values on which the search is conducted. Global optimization has been tested in the case of De Jong, Rastrigin and Rosenbrock functions. According to the results of the research, the Grey Wolf algorithm proves its efficiency for finding a global optimum for both single-extremum and multi-extremum functions. Its flexibility makes the algorithm able to be adjusted to any specific case thus enabling it to work most effectively.