International Journal of Computational Intelligence Systems

Next Article In Issue>
Volume 9, Issue 6, December 2016, Pages 1001 - 1015

An Effective Hybrid Differential Evolution Algorithm Incorporating Simulated Annealing for Joint Replenishment and Delivery Problem with Trade Credit

Authors
Yu-Rong Zeng1, 2, zyrhbue@gmail.com, Lu Peng1, pengluhust@163.com, Jinlong Zhang1, jlzhang@hust.edu.cn, Lin Wang1, *, wanglin982@gmail.com
1School of Management, Huazhong University of Science and Technology, Wuhan 430074, China
2School of Information Engineering, Hubei University of Economics, Wuhan 430205, China
* Corresponding author. Email:wanglin982@gmail.com.
Corresponding Author
Received 9 March 2016, Accepted 23 June 2016, Available Online 1 December 2016.
DOI
10.1080/18756891.2016.1256567How to use a DOI?
Keywords
Joint Replenishment and Delivery; trade credit; hybrid differential evolution algorithm; simulated annealing algorithm
Abstract

In practice, suppliers often provide retailers with forward financing to increase demand or decrease inventory. This paper proposes a new and practical joint replenishment and delivery (JRD) model by considering trade credit. However, because of the complex mathematical properties of JRD, high-quality solutions to the problem have eluded researchers. We design an effective hybrid differential evolution algorithm based on simulated annealing (HDE-SA) that can resolve this non-deterministic polynomial hard problem in a robust and precise way. After determining the suitable parameters by a parameter-tuning test, we verify the performance of the HDE-SA through numerical JRD examples. Compared with the results of other popular evolutionary algorithms, results of randomly generated JRDs indicate that HDE-SA can always obtain slightly lower total costs than differential evolution algorithm (DE) and genetic algorithm (GA) under different situations. Moreover, the convergence rate of the HDESA is higher than that of DE and GA. Thus, the proposed HDE-SA is a potential tool for the JRD with trade credit.

Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Download article (PDF)
View full text (HTML)

Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
9 - 6
Pages
1001 - 1015
Publication Date
2016/12/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2016.1256567How to use a DOI?
Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Yu-Rong Zeng
AU  - Lu Peng
AU  - Jinlong Zhang
AU  - Lin Wang
PY  - 2016
DA  - 2016/12/01
TI  - An Effective Hybrid Differential Evolution Algorithm Incorporating Simulated Annealing for Joint Replenishment and Delivery Problem with Trade Credit
JO  - International Journal of Computational Intelligence Systems
SP  - 1001
EP  - 1015
VL  - 9
IS  - 6
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2016.1256567
DO  - 10.1080/18756891.2016.1256567
ID  - Zeng2016
ER  -