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EVOLUTIONARY ALGORITHM TO FIND THE OPTIMAL VALUES OF CONTROL PARAMETERS FOR METAHEURISTIC METHODS OF WIRELESS NETWORK PLANNING PROBLEM SOLVING

V. N. Malysh, PhD (technical sciences), full professor, Head of the Department, RANEPA, Lipetsk; This email address is being protected from spambots. You need JavaScript enabled to view it.
E. S. Skakov, post-graduate student, LSPU, Lipetsk; This email address is being protected from spambots. You need JavaScript enabled to view it.

The problem to find the optimal values of control parameters for metaheuristic algorithms using evolutionary approach is studied. The aim is to select the control parameters for tabu search algorithm and bee colony optimization algorithm during wireless network planning. The method based on a binary coding evolutionary algorithm is proposed. On the basis of the proposed algorithm the selection of control parameters for metaheuristic algorithms to solve the task of base station location was made by computer simulation. Comparison of bee colony optimization algorithm and tabu search for wireless network planning problem solving was implemented.

Key words: wireless network planning, base station location, evolutionary algorithm, optimization, metaheuristic, control parameters, tabu search, bee colony optimization algorithm.

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