BGSA: binary gravitational search algorithm
BGSA: binary gravitational search algorithm
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DOI：
10.1007/s11047-009-9175-3
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发表时间：
2010-09-01
影响因子：
2.1
通讯作者：
Saryazdi, Saeid
中科院分区：
文献类型：
--
作者：
Rashedi, Esmat;Nezamabadi-pour, Hossein;Saryazdi, Saeid
引力搜索算法是一种基于引力定律和质量相互作用的新型优化算法。在该算法中，搜索代理是质量的集合，它们的相互作用基于牛顿引力和运动定律。在本文中，介绍了该算法的二进制版本。为了评估所提出算法的性能，进行了多次实验。实验结果证实了BGSA在求解各种非线性基准函数方面的效率。
Gravitational search algorithm is one of the new optimization algorithms that is based on the law of gravity and mass interactions. In this algorithm, the searcher agents are a collection of masses, and their interactions are based on the Newtonian laws of gravity and motion. In this article, a binary version of the algorithm is introduced. To evaluate the performances of the proposed algorithm, several experiments are performed. The experimental results confirm the efficiency of the BGSA in solving various nonlinear benchmark functions.