DocumentCode
2739347
Title
BOA: A novel optimization algorithm
Author
Salem, Sameh A.
Author_Institution
Department of Communications, Electronics and Computer, Faculty of Engineering, Helwan University, Cairo, Egypt
fYear
2012
fDate
10-11 Oct. 2012
Firstpage
1
Lastpage
5
Abstract
In this paper, a novel algorithm for multimodal function optimization is proposed, which is called Base Optimization Algorithm (BOA). The proposed algorithm uses a combination of basic arithmetic operators along with a displacement parameter to guide and redirect the solutions towards the optimum point. The efficiency of the new algorithm is demonstrated using standard benchmark functions. A comparison of the results with those of other evolutionary algorithms shows that the proposed algorithm outperforms its competitors.
Keywords
evolutionary computation; BOA; base optimization algorithm; basic arithmetic operators; displacement parameter; evolutionary algorithms; multimodal function optimization; novel optimization algorithm; standard benchmark functions; Algorithm design and analysis; Benchmark testing; Educational institutions; Genetic algorithms; Linear programming; Optimization; Particle swarm optimization; Evolutionary computations; Optimization; multimodal functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering and Technology (ICET), 2012 International Conference on
Conference_Location
Cairo
Print_ISBN
978-1-4673-4808-9
Type
conf
DOI
10.1109/ICEngTechnol.2012.6396156
Filename
6396156
Link To Document