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fish

于 2021-03-23 发布 文件大小:4KB
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  人工鱼群算法是李晓磊等人于2002年在动物群体智能行为研究的基础上提出的一种新型方盛优化算法,该算法根据水域中鱼生存数目最多的地方就是本水域中富含营养物质最多的地方这一特点来模拟鱼群的觅食行为而实现寻优。算法主要利用鱼的三大基本行为:觅食、聚群和追尾行为,采用自上而下的寻优模式从构造个体的底层行为开始,通过鱼群中各个体的局部寻优,达到全局最优值在群体中凸显出来的目的。 这是一个鱼群算法的案例,希望大家可以有所收获(Artificial fish swarm algorithm is a new fangsheng optimization algorithm proposed by li xiaolei et al. on the basis of the research on intelligent behavior of animals in 2002. This algorithm simulates the foraging behavior of fish swarm according to the characteristics that the place with the largest number of fish survival is the place with the largest number of nutrients in the water area.)

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