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KARÁSEK, J. BURGET, R. MÜLLER, J. PERIS MONTALT, V.
Original Title
Warehouse Routing Problem Built on Evolutionary Techniques of Genetic Algorithms
Type
conference paper
Language
English
Original Abstract
In general, the proper organization of work and production processes in the warehouses can save significant financial resources. This paper deals with optimizing the vehicle routing problem within logistics warehouses using evolutionary techniques of genetic algorithms. The main aim of the work is to find and plan possible paths to be used for receiving, transfer and put away, storing, order picking, cross-docking, and shipping during the passage through warehouse. The paper proposes methods for finding the path, coding a chromosome, simulation of the whole process and finding a solution of the vehicle routing problem where there is no danger of possible path crossing.
Keywords
Evolutionary computation, Genetic algorithms, Process planning, Vehicle routing problem
Authors
KARÁSEK, J.; BURGET, R.; MÜLLER, J.; PERIS MONTALT, V.
RIV year
2011
Released
3. 2. 2011
Publisher
Brno University of Technology
Location
Brno
ISBN
978-80-214-4231-3
Book
6th International Conference on Teleinformatics
Edition
Pages from
83
Pages to
88
Pages count
6
BibTex
@inproceedings{BUT34969, author="Jan {Karásek} and Radim {Burget} and Jakub {Müller} and Victor Manuel {Peris Montalt}", title="Warehouse Routing Problem Built on Evolutionary Techniques of Genetic Algorithms", booktitle="6th International Conference on Teleinformatics", year="2011", series="2011", pages="83--88", publisher="Brno University of Technology", address="Brno", isbn="978-80-214-4231-3" }