Volume 8 Number 6 (Jun. 2013)
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JSW 2013 Vol.8(6): 1339-1345 ISSN: 1796-217X
doi: 10.4304/jsw.8.6.1339-1345

Constraint Cellular Ant Algorithm for the Multi- Objective Vehicle Routing Problem

Yuanzhi Wang
Geography Department, Dezhou University, Dezhou, Shandong 253023, China

Abstract—Constraint Cellular ant algorithm is a new optimization method for solving real problems by using both constraints method, the evolutionary rule of cellular, graph theory and the characteristics of ant colony optimization. Multi-objective vehicle routing problem is very important and practical in logistic research fields, but it is difficult to model and solve because objectives have complicated relationship and restriction. Constraint Cellular ant algorithm has more obvious advantages to solve such kind of combinatorial optimization problems than many other algorithms. The test results show that the constraint cellular ant algorithm is feasible and effective for the MOVRP. The clarity and simplicity of the constraint cellular ant algorithm is greatly enhanced to ant colony optimization.

Index Terms—Constraint cellular ant algorithm, Graph theory, Multi-objective, Vehicle routing problem.


Cite: Yuanzhi Wang, "Constraint Cellular Ant Algorithm for the Multi- Objective Vehicle Routing Problem," Journal of Software vol. 8, no. 6, pp. 1339-1345, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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