Optimization of Chosen Transport Task by Using Generic Algorithms

Abstract : The paper presents genetic algorithms, their properties and capabilities in solving computational problems. Using a genetic algorithm an optimization task of transportation - production regard to the transport and processing of milk will be investigated. For the network of collection centers and processing plants (factories) the cost-optimal transportation plan regarding to raw materials to the relevant factories will be established. It is assumed that the functions defining the costs of processing are polynomials of the second degree. To solve the problem the program that uses genetic algorithms written in MATLAB will be used.
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Communication dans un congrès
Khalid Saeed; Władysław Homenda. 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2016, Vilnius, Lithuania. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9842, pp.197-205, 2016, Computer Information Systems and Industrial Management. 〈10.1007/978-3-319-45378-1_18〉
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Anna Burduk, Kamil Musiał. Optimization of Chosen Transport Task by Using Generic Algorithms. Khalid Saeed; Władysław Homenda. 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2016, Vilnius, Lithuania. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9842, pp.197-205, 2016, Computer Information Systems and Industrial Management. 〈10.1007/978-3-319-45378-1_18〉. 〈hal-01637504〉

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