Detail publikace

Warehouse Routing Problem Built on Evolutionary Techniques of Genetic Algorithms

Originální název

Warehouse Routing Problem Built on Evolutionary Techniques of Genetic Algorithms

Anglický název

Warehouse Routing Problem Built on Evolutionary Techniques of Genetic Algorithms

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

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"
}