Research on the Optimization Scheme of Base Station Construction Based on Artificial Bee Colony Algorithm

Wei Ping Wang; Miao Yang; Tao Li; Ying Qin

doi:10.4028/www.scientific.net/AMM.602-605.3612

Paper Titles

An Evaluation Method of Node Importance in Complex Network
p.3597

Design of X-Ray Fluorescence Spectrum Software Based on Linux
p.3601

Study of Bluetooth Image Printing Technology Based on Android Phone
p.3604

Comparison of Particle Swarm Algorithm and Ant Colony Algorithm in the Optimization of Uniform Quantizer
p.3608

Research on the Optimization Scheme of Base Station Construction Based on Artificial Bee Colony Algorithm
p.3612

The Reduction of a Type of Singular Partial Differential Equations
p.3616

Research on Brain Drain of Energy Environmental Protection Enterprises Based on Evolutionary Game Model
p.3620

Descending Dimension Algorithm for Association Rules Based on SQL Calculation
p.3626

User Interface Design and Implementation for Electricity Operation Information System Based on Android
p.3630

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Research on the Optimization Scheme of Base...

Research on the Optimization Scheme of Base Station Construction Based on Artificial Bee Colony Algorithm

Abstract:

Artificial bee colony algorithm is a new meta heuristic bionic algorithm.Each bee can be viewed as an agent in the algorithm.Through the swarm synergies between the individual achieve the effect of swarm intelligence.Based on the analysis on the principle of bees gather honey,the process of solving functional optimization is converted into the process of swarm finding rich food sources,then we can solve the function.With the arrival of 4G Era,Base station construction is the most crucial step of the mobile communication network popularization, its significance and role should not be underestimated.How to realize the optimization of communication base station construction costs has been the research focus of the mobile service operator and colleges and universities.The artificial bee colony algorithm is applied to solve the optimal solution of base station construction scheme in this paper,which is very critical reference for decision in real base station construction.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

3612-3615

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.3612

Citation:

Cite this paper

Online since:

August 2014

Authors:

Wei Ping Wang, Miao Yang*, Tao Li, Ying Qin

Keywords:

Artificial Bee Colony Algorithm, Base Station Construction, MATLAB, Optimization

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Karaboga D. An idea based on honey bee swarm for numerical optimization[R]. Technical report-tr06, Erciyes university, engineering faculty, computer engineering department, (2005).

Google Scholar

[2] Karaboga D, Basturk B. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm[J]. Journal of global optimization, 2007, 39(3): 459-471.

DOI: 10.1007/s10898-007-9149-x

Google Scholar

[3] Karaboga D, Basturk B. Artificial bee colony (ABC) optimization algorithm for solving constrained optimization problems[M]/Foundations of Fuzzy Logic and Soft Computing. Springer Berlin Heidelberg, 2007: 789-798.

DOI: 10.1007/978-3-540-72950-1_77

Google Scholar

[4] Singh A. An artificial bee colony algorithm for the leaf-constrained minimum spanning tree problem[J]. Applied Soft Computing, 2009, 9(2): 625-631.

DOI: 10.1016/j.asoc.2008.09.001

Google Scholar