Volume 11, Issue 1, 2018, Pages 195 - 205
Discrete Firefly Algorithm for Clustered Multi-Temperature Joint Distribution with Fuzzy Travel Times
Authors
Sichao Lu1, *, lusichao@163.com, Xifu Wang2, wxfky@vip.sina.com
1School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China
2School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China
*Corresponding author.
Corresponding Author
Sichao Lulusichao@163.com
Received 9 February 2017, Accepted 15 October 2017, Available Online 1 January 2018.
- DOI
- 10.2991/ijcis.11.1.15How to use a DOI?
- Keywords
- MTJD, distribution; Z-shaped; Firefly algorithm; Perishable food
- Abstract
This study proposes a mathematical model of clustered multi-temperature joint distribution in fuzzy environment. In this model, a Z-shaped function is used to depict customer satisfaction. For the imprecise model, triangular fuzzy numbers are used to represent travel times. By redefining the movement procedure of fireflies, two versions of discrete firefly algorithms are developed, which differ in the population initialization strategy. Finally, experiments are carried out and computational results are reported to confirm the effectiveness of the proposed algorithms.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - Sichao Lu AU - Xifu Wang PY - 2018 DA - 2018/01/01 TI - Discrete Firefly Algorithm for Clustered Multi-Temperature Joint Distribution with Fuzzy Travel Times JO - International Journal of Computational Intelligence Systems SP - 195 EP - 205 VL - 11 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.11.1.15 DO - 10.2991/ijcis.11.1.15 ID - Lu2018 ER -