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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.
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Акопов Андраник Сумбатович (2014) studied this question.
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