Publication detail

Warehouse Routing Problem Built on Evolutionary Techniques of Genetic Algorithms

KARÁSEK, J. BURGET, R. MÜLLER, J. PERIS MONTALT, V.

Original Title

Warehouse Routing Problem Built on Evolutionary Techniques of Genetic Algorithms

English Title

Warehouse Routing Problem Built on Evolutionary Techniques of Genetic Algorithms

Type

conference paper

Language

en

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.

English 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

RIV year

2011

Released

03.02.2011

Publisher

Brno University of Technology

Location

Brno

ISBN

978-80-214-4231-3

Book

6th International Conference on Teleinformatics

Edition

2011

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",
  annote="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.",
  address="Brno University of Technology",
  booktitle="6th International Conference on Teleinformatics",
  chapter="34969",
  edition="2011",
  howpublished="electronic, physical medium",
  institution="Brno University of Technology",
  year="2011",
  month="february",
  pages="83--88",
  publisher="Brno University of Technology",
  type="conference paper"
}