Agricultural Optimization of Cold-Chain Logistics Distribution Routing Based on PSO

2013 ◽  
Vol 756-759 ◽  
pp. 3941-3945 ◽  
Author(s):  
Wei Yang ◽  
Qian Zhang ◽  
Guo Dong Li
Keyword(s):  
Optimization Problem ◽  
Particle Swarm Optimization Algorithm ◽  
Optimization Method ◽  
Agricultural Products ◽  
Path Optimization ◽  
Cold Chain ◽  
Swarm Optimization ◽  
Logistics Distribution ◽  
Routing Optimization ◽  
Definition Of

The definition of the cold chain logistics and the problem of the agricultural cold chain logistics are introduced. According to the characteristics of cold chain logistics, exploring the cold chain logistics distribution path optimization method. Based on the model of the agricultural products cold chain logistics distribution routing optimization, particle swarm optimization algorithm is constructed to solve the optimization problem. Taking an example, the results have been conducted finally to demonstrate the effectiveness of the algorithm for agricultural products cold chain logistics distribution routing optimization problem.

Routing Optimization of High-Level Order Picking Truck Based on Swarm Intelligent Algorithm

2011 ◽  
Vol 101-102 ◽  
pp. 414-417
Author(s):  
Yi Qiang Wang ◽  
Chao Fu ◽  
Ming Yang Ma ◽  
Lin Bin Wang
Keyword(s):  
Optimization Problem ◽  
Order Picking ◽  
Intelligent Algorithm ◽  
Swarm Optimization ◽  
Intelligent Algorithms ◽  
Operation Efficiency ◽  
Routing Optimization ◽  
High Level ◽  
The Mathematical Model ◽  
Level Order

In order to improve the operation efficiency of order picking trucks in the warehouse, the mathematical model of the routing optimization problem is established. Then PSO (Particle Swarm Optimization) and ACO (Ant Colony Optimization) are used to solve the model. Experimental results show that both of them have good overall search ability and astringency. The operation efficiency is improved to a great extent by using swarm intelligent algorithms.

An Optimum Bending Groove Design of Panel to Minimize Noise Power

Volume 1 ◽  
2004 ◽  
Author(s):  
Jin-Young Jeon ◽  
Masaaki Okuma ◽  
Yusuke Nakura
Keyword(s):  
Optimum Design ◽  
Sound Pressure ◽  
Particle Swarm Optimization Algorithm ◽  
Design Method ◽  
Optimization Method ◽  
Noise Power ◽  
Good Reduction ◽  
Swarm Optimization ◽  
Application Study ◽  
Force Excitation

In this paper, the authors propose a new method for optimum design of bending grooves on vibrating panel-like structures to reduce noise. It is proposed in the method to use the mapping of sound pressure level on the vibrating panel’s surface for best positioning of a bending groove and to apply the particle swarm optimization algorithm (PSOA) for determining the best dimensions of the bending groove. The optimum design method is applied to a rectangular aluminum panel whose size is 0.45×0.4m with thickness 0.001m under the boundary condition of clamping four edge lines. Then, a panel with a bending groove is actually made according to the optimum design, and an experiment is carried out to the panel for verification. The application study is carried out for two cases of different position of a point force excitation on the panel. The two applications demonstrate that the bending grooves designed by the optimization method can realize good reduction of sound power.

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