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萤火虫算法

于 2018-05-30 发布 文件大小:1KB
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  萤火虫算法是模拟自然界中成虫发光的生物学特性发展而来的,也是基于群体的随机优化算法。关于萤火虫算法目前文献有两种版本。一种是印度学者Krishnanand等人提出,称为GSO(glowworm swarm optimization);另一种由剑桥学者Xin-She Yang提出,称为FA(firefly algorithm)。两种算法的仿生原理相同,但在具体实现方面有一定差异。(Firefly algorithm is developed from simulating the biological characteristics of adult insects in nature, and is also a random optimization algorithm based on population. There are two versions of the firefly algorithm. One is proposed by the India scholar Krishnanand and others, called the GSO (glowworm swarm optimization); the other is proposed by the Cambridge scholar Xin-She Yang, known as FA (Firefly algorithm). The bionic principles of the two algorithms are the same, but there are certain differences in the specific implementation.)

文件列表:

萤火虫算法\firefly_move.m, 1253 , 2018-05-28
萤火虫算法\yinghuochong.m, 1679 , 2018-05-28
萤火虫算法, 0 , 2018-05-28

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