Open AccessAPPLICATION OF GENETIC ALGORITHM OF OPTIMIZATION DURING THE PROCESS OF URBAN PASSENGER TRAFFIC MANAGEMENT
Author(s) -
Gocha Lekveishvili,
Phridon GOGIASHVILI,
Jumber Chogovadze,
David Kbilashvili
Publication year - 2018
Publication title -
juvenis scientia
Language(s) - English
Resource type - Journals
eISSN - 2414-3790
pISSN - 2414-3782
DOI - 10.32415/jscientia.2018.11.01
Subject(s) - process (computing) , genetic algorithm , computer science , set (abstract data type) , quality (philosophy) , operations research , transport engineering , control (management) , management system , engineering , operations management , artificial intelligence , machine learning , operating system , philosophy , epistemology , programming language
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.