Title: Parallel genetic algorithm with fading selection

Authors: Andranik S. Akopov

Addresses: Faculty of Business Informatics, Business Analytics Department, National Research University Higher School of Economics, Kirpichnaya str. 33, Moscow 105187, Russia

Abstract: This work presents a novel approach to designing the parallel genetic algorithm (GA) with fading selection for the solving of the problem of the shareholder value maximisation of an oil company. The algorithm based on the dynamical interaction of synchronised processes, which are interdependent GAs having own separate evolutions of their populations. The developed system allows users to find a set of non-dominated investment projects (Pareto-efficient solutions), allowing to pick a particular solution in accordance with their utility function.

Keywords: parallel genetic algorithms; multi-objective optimisation; Pareto front; system dynamics; oil industry; fading selection; shareholder value maximisation; non-dominated investment projects.

DOI: 10.1504/IJCAT.2014.062368

International Journal of Computer Applications in Technology, 2014 Vol.49 No.3/4, pp.325 - 331

Published online: 02 Mar 2015 *

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