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2017 | OriginalPaper | Chapter

Genetic Algorithm Adoption to Transport Task Optimization

Authors : Anna Burduk, Kamil Musiał

Published in: International Joint Conference SOCO’16-CISIS’16-ICEUTE’16

Publisher: Springer International Publishing

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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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Metadata
Title
Genetic Algorithm Adoption to Transport Task Optimization
Authors
Anna Burduk
Kamil Musiał
Copyright Year
2017
Book
International Joint Conference SOCO’16-CISIS’16-ICEUTE’16

Print ISBN: 978-3-319-47363-5

Electronic ISBN: 978-3-319-47364-2

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-47364-2_35

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