Application of genetic algorithm of optimization during the process of urban passenger traffic management
Автор: Lekveishvili G.A., Gogiashvili P.G., Chogovadze J.T., Kbilashvili D.G.
Журнал: Juvenis scientia @jscientia
Рубрика: Экономические науки
Статья в выпуске: 11, 2018 года.
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The paper proposes a generalized logistic model of the urban passenger transportation system, and on its basis, there has been developed a modified model that allows for determining a set of organizational and economic indicators in each state of a system. To solve the optimization problem of the transportation process system under conditions of dynamically changing passenger traffic flows, there has been justified searching for a balance between the effectiveness and quality of solutions due to the «survival of the strongest alternative solutions» y to earn system of operational control buses on the route. There has been proven the advantage of using genetic algorithm to optimize the processes of organizing and managing the system of urban passenger transport with the aim of maximizing the profits of an enterprise at minimal cost.
Urban passenger traffics, optimization, genetic algorithm, traffic schedule, logistic model
Короткий адрес: https://sciup.org/14113446
IDR: 14113446 | DOI: 10.32415/jscientia.2018.11.01
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