Title :
BOA: A novel optimization algorithm
Author_Institution :
Department of Communications, Electronics and Computer, Faculty of Engineering, Helwan University, Cairo, Egypt
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;
Conference_Titel :
Engineering and Technology (ICET), 2012 International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4673-4808-9
DOI :
10.1109/ICEngTechnol.2012.6396156