Cloud model-based Artificial Bee Colony Algorithm´s application in the logistics location problem

Author

He Deng-Xu ; Jia Rui-min

Author_Institution

Coll. of Assoc. of Southeast Asian Nations, Guangxi Univ. for Nat., Nanning, China

Volume

1

fYear

2012

fDate

20-21 Oct. 2012

Firstpage

256

Lastpage

259

Abstract

The logistics location problem is important in our daily life. Drawing lessons from the properties of randomness and stable tendency of a normal cloud model, the paper proposed an improved Artificial Bee Colony algorithm, Cloud model-based Artificial Bee Colony Algorithm (CABC), through using positive cloud generator to generate the parameters Artificial Bee Colony algorithm needed. The function test showed that CABC has better performance than the basic Artificial Bee Colony algorithm. Then CABC was used to solve the logistics location problem after discretization. Simulation results showed that it could solve this kind of problems better than the other algorithm. And this phenomenon has important reality meaning.

Keywords

logistics; particle swarm optimisation; CABC; cloud generator; cloud model-based artificial bee colony algorithm; logistics location problem; normal cloud model; Educational institutions; Generators; Helium; Logistics; Numerical models; Optimization; Simulation; Artificial Bee Colony algorithm (ABC); Cloud model; discretization; the logistics location problem;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Management, Innovation Management and Industrial Engineering (ICIII), 2012 International Conference on

Conference_Location

Sanya

Print_ISBN

978-1-4673-1932-4

Type

conf

DOI

10.1109/ICIII.2012.6339647

Filename

6339647