一种新的混合全局优化算法

2018 14th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2018-11-01 DOI:10.1109/CIS2018.2018.00087

Ding Wang

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引用次数: 0

摘要

针对引力搜索算法(GSA)和人工蜂群算法(ABC)收敛精度低、收敛速度慢等缺点，提出了一种基于引力搜索算法和人工蜂群算法的混合优化算法NHA。NHA平衡开发与探索。数值实验表明，NHA在高维上具有良好的效果。

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A New Hybrid Global Optimization Algorithm

Focusing on the disadvantages of gravitation search algorithm (GSA) and artificial bee colony (ABC), such as low convergence precision, slow convergence, and this paper proposed a new hybrid optimization algorithm NHA based on GSA and ABC. NHA balance exploitation and exploration. Numerical experiments show that NHA has good results in high dimensions.

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2018 14th International Conference on Computational Intelligence and Security (CIS)

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