BUSINESS INFORM №4-2017

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Section: Economic and Mathematical Modeling
UDC 519.863:005.336.1
Malуarets L. M., Minenkova O. V.
Solving the Multi-Criteria Optimization Task of Efficiency of Enterprise’s Performance with Use of the Genetic Algorithm (p. 119 - 125)
The article sets out the procedure of solving the multi-criteria optimization task of performance efficiency with use of the genetic algorithm. An analysis of the main computational algorithms of the interactive methods for the multi-criteria optimization has been provided, their advantages and disadvantages have been specified. A multi-criteria optimization model of efficiency of the enterprise’s performance has been presented, based on balanced scorecard and taking into consideration the functions of changes of the values of these indicators during the research period, as well as the relevant regular tendencies in the changes of these indicators. In the task, a multitude of Pareto solutions was found, using the software of MatLab environment, more precisely: implementing the procedure of Multiobjective optimization using Genetic Algorithm, based on the genetic algorithm. The optimal values of indicators have been suggested to be used as the basis for a comparative evaluation and strategizing activities of enterprise.
Keywords: multi-criteria optimization task, performance efficiency, interactive methods, genetic algorithm, partial criteria, stages of solving the task.
Fig.: 1. Formulae: 31. Bibl.: 9.

Malуarets Lyudmyla M. – Doctor of Sciences (Economics), Professor, Head of the Department, Department of Mathematics and Mathematical Economic Methods, Simon Kuznets Kharkiv National University of Economics (9a Nauky Ave., Kharkiv, 61166, Ukraine)
Email: [email protected]
Minenkova Olena V. – Applicant, Department of Mathematics and Economics and Mathematical Methods, Simon Kuznets Kharkiv National University of Economics (9a Nauky Ave., Kharkiv, 61166, Ukraine)
Email: [email protected]

Article is written in Ukrainan
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Reference to this article:
Malуarets, Lyudmyla M., and Minenkova, Olena V. (2017) “Solving the Multi-Criteria Optimization Task of Efficiency of Enterprise’s Performance with Use of the Genetic Algorithm.” Business Inform 4:119–125.

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