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A parallel bees algorithm implementation on GPU

JOURNAL OF SYSTEMS ARCHITECTURE 2014年第3期60卷 271-279页

作者： Luo, Guo-Heng Huang, Sheng-Kai Chang, Yue-Shan Yuan, Shyan-Ming Natl Chiao Tung Univ Dept Comp Sci & Engn Hsinchu 300 Taiwan Natl Taipei Univ Dept Comp Sci & Informat Engn New Taipei City 237 Taiwan

bees algorithm is a population-based method that is a computational bound algorithm whose inspired by the natural behavior of honey bees to finds a near-optimal solution for the search problem. Recently, many parallel swarm based algorithms have been developed for running on GPU (Graphic Processing Unit). Since nowadays developing a parallel Bee algorithm running on the GPU becomes very important. In this paper, we extend the bees algorithm (CUBA (i.e. CUDA based bees algorithm)) in order to be run on the CUDA (Compute Unified Device Architecture). CUBA (CUDA based bees algorithm). We evaluate the performance of CUBA by conducting some experiments based on numerous famous optimization problems. Results show that CUBA significantly outperforms standard bees algorithm in numerous different optimization problems. (C) 2013 Elsevier B.V. All rights reserved.

关键词： bees algorithm parallel bees algorithm Swarm intelligence GPGPU CUDA

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Analytic Behavior of parallel bees algorithm

引用

Research Journal of Applied Sciences, Engineering and Technology 2015年第6期11卷 661-665页

作者： Nayif Mohammed Hammash College of Computer and Mathematic Sciences Tikrit University Tikrit Saladin Province Iraq

bees algorithm is one of the optimization algorithms inspired from the natural foraging ways of the honey bees of finding the best solution. It is an iteration algorithm; therefore, it is suffering from slow convergence. The other downside of the Bee algorithm is that it has needless computation. This means that it spends a long time for the bees algorithm converge the optimum solution. In this study, the parallel bees algorithm technique is proposed for overcoming of this issue. Due to that, this would lead to reduce the required time to get a solution with faster results accuracy than original bees algorithm.

关键词： Convergence optimization parallel bees algorithm

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