Text Increase Text Decrease Text Reset

paper 6, The Application of the Multi-Objective Particle Swarm Optimization Algorithm in Logistics Distribution

In Session 1 of Future Computer and Communication 2011 from: International Conference on Future Computer and Communication, 3rd (ICFCC 2011), First
Author(s)/Editor(s):
859711 Cover Image
Published: 2011
Author(s)/Editor(s): Tingting Guan, Shaomei Zhou
Chapter Page Count: 6 pages

Table of Contents

  • Preview

Chapter Contents

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

Excerpt

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.



©2011 ASME

PURCHASE CHAPTER (US$25)

Download PDF
View Items in Cart

BOOK DATA

Print ISBN:

9780791859711

Publisher:



close