Advances in Intelligent Systems and Computing, pages 366-375
Genetic Algorithm Adoption to Transport Task Optimization
Publication type: Book Chapter
Publication date: 2016-10-01
SJR: —
CiteScore: —
Impact factor: —
ISSN: 21945357
Abstract
The paper presents an optimization task of transportation - production solved with genetic algorithms. For the network of processing plants (factories) and collection centers the cost-optimal transportation plan will be established. Plan is regarding to raw materials to the relevant factories. Task of transportation - production regard to the milk transport and processing will be investigated. It is assumed that the functions defining the costs of processing are polynomials of the second degree. Genetic algorithms, their properties and capabilities in solving computational problems will be described and conclusions will be presented. The program that uses genetic algorithms written in MATLAB will be used to solve an investigated issue.
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Burduk A., Musiał K. Genetic Algorithm Adoption to Transport Task Optimization // Advances in Intelligent Systems and Computing. 2016. pp. 366-375.
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Burduk A., Musiał K. Genetic Algorithm Adoption to Transport Task Optimization // Advances in Intelligent Systems and Computing. 2016. pp. 366-375.
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TY - GENERIC
DO - 10.1007/978-3-319-47364-2_35
UR - https://doi.org/10.1007/978-3-319-47364-2_35
TI - Genetic Algorithm Adoption to Transport Task Optimization
T2 - Advances in Intelligent Systems and Computing
AU - Burduk, Anna
AU - Musiał, Kamil
PY - 2016
DA - 2016/10/01
PB - Springer Nature
SP - 366-375
SN - 2194-5357
ER -
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@incollection{2016_Burduk,
author = {Anna Burduk and Kamil Musiał},
title = {Genetic Algorithm Adoption to Transport Task Optimization},
publisher = {Springer Nature},
year = {2016},
pages = {366--375},
month = {oct}
}