A Novel Method for Logistics Facility Location by Combining Finite State Automaton and Genetic Algorithm

DOI

10.2991/aiie-15.2015.101How to use a DOI?

Keywords

facility location; genetic algorithm; finite state automaton

Abstract

The location of distribution centers plays a vital role in logistics planning. This paper presents a new method for solving the location problems. The mechanism of finite state automaton is combined to the standard GA to diversify location strategies and accelerate the convergence speed of the method. The experiment results demonstrate the proposed method outperforms the standard GA in terms of computational cost.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - L. Wang
AU  - W.G. Li
AU  - L. Gao
PY  - 2015/07
DA  - 2015/07
TI  - A Novel Method for Logistics Facility Location by Combining Finite State Automaton and Genetic Algorithm
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 365
EP  - 368
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.101
DO  - 10.2991/aiie-15.2015.101
ID  - Wang2015/07
ER  -