模式识别与人工智能
Thursday, Apr. 10, 2025 Home      About Journal      Editorial Board      Instructions      Ethics Statement      Contact Us                   中文
  2010, Vol. 23 Issue (4): 560-564    DOI:
Orignal Article Current Issue| Next Issue| Archive| Adv Search |
Improved Artificial Fish Swarm Algorithm for Vehicle Routing Problem with Backhaul and Fuzzy Demand
LIU Yi
Institute of Management Science and Information Engineering,Hangzhou Dianzi University,Hangzhou 310018

Download: PDF (337 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  The vehicle routing problem with backhaul and fuzzy demand (VRPBFD) is one of the most important and difficult problems in operational research filed. A mathematical model for the problem is built in this paper and the improved artificial fish swarm algorithm is proposed. With the effective combination of bionic principle in artificial fish swarm algorithm and subjective preference from decision maker, the optimization function is reconstructed. The optimization ability is raised by dynamically adjusting moving steps of artificial fishes, visual range and neighborhood values. The experiment results of simulation show that the improved algorithm has the validity and superiority.
Key wordsVehicle Routing Problem with Backhaul (VRPB)      Fuzzy Demand      Swarm Intelligence Optimization      Artificial Fish Swarm Algorithm     
Received: 28 December 2009     
ZTFLH: O224  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
LIU Yi
Cite this article:   
LIU Yi. Improved Artificial Fish Swarm Algorithm for Vehicle Routing Problem with Backhaul and Fuzzy Demand[J]. , 2010, 23(4): 560-564.
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2010/V23/I4/560
Copyright © 2010 Editorial Office of Pattern Recognition and Artificial Intelligence
Address: No.350 Shushanhu Road, Hefei, Anhui Province, P.R. China Tel: 0551-65591176 Fax:0551-65591176 Email: bjb@iim.ac.cn
Supported by Beijing Magtech  Email:support@magtech.com.cn