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 :
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