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ASME Press Select Proceedings
International Conference on Future Computer and Communication, 3rd (ICFCC 2011)
ISBN:
9780791859711
No. of Pages:
524
Publisher:
ASME Press
Publication date:
2011

The research of multi-objective optimization, how to find the Pareto optimum solution effectively and efficiently, has become very popular in recent years. And the logistics distribution problem is a very active domain that has been discussed by so many researchers. Though various algorithms have been applied to such kind optimization problem, the effectiveness still needs to be improved. In this paper, we analyzed the logistics distribution routing optimization problem, built its mathematical model, and used the multi-objective particle swarm optimization algorithm to solve the problem. Finally the simulation result demonstrated that the MOPSO algorithm performed better in quality and efficiency of searching the optimum path than other optimization algorithms.

Abstract
Key Words
1. Introduction
2. Logistic Distribution Problem
3. Multi-Objective Particles Swarm Optimization
4. Experimental Simulation
5. Conclusion
References
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