Hybrid Particle Swarm Algorithm for Grain Logistics Vehicle Routing Problem

2009 ◽  
Author(s):  
Yuhua Zhu ◽  
Hongyi Ge ◽  
Tong Zhen
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Particle Swarm ◽  
Particle Swarm Algorithm ◽  
Routing Problem ◽  
Hybrid Particle ◽  
Swarm Algorithm

The Improvement of Hybrid Particle Swarm Algorithm and its Application

2011 ◽  
Vol 268-270 ◽  
pp. 798-802 ◽  
Author(s):  
Shu Rong Zou ◽  
Peng Xin Ding ◽  
Hong Wei Zhang
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Particle Swarm ◽  
Particle Swarm Algorithm ◽  
Routing Problem ◽  
Multi Objective ◽  
Inertia Weight ◽  
Swarm Algorithm ◽  
Dynamic Inertia Weight ◽  
Dynamic Inertia

Hybrid multi-objective particle swarm algorithm is applied to vehicle routing problem and achieved good results, this paper based on the previous work, dynamic inertia weight is added to the particle swarm algorithm with intelligence factors, it improved the global search ability and the capacity of local convergence of the particle swarm algorithm; and the idea of immunity is introduced in the algorithm ,which makes the hybrid multi-objective particle swarm algorithm can effectively discard the repeated solutions in solving vehicle routing problems, this operation can improve the efficiency of the algorithm, and obtain better results under the same conditions.

Sign in / Sign up

Export Citation Format

Share Document