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Closed Forms for the Fully-Connected Continuous Flock of Starlings Optimization Algorithm

机译:Starlings优化算法全连接连续群的封闭形式

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摘要

A new typology of swarm-based algorithms which employ analytical closed-forms written in the continuum is presented. The continuous algorithms are firstly introduced by making a simple translation of the numerical swarm-based algorithms into differential equations in the time domain (state equations). The integration of these state equations by using a time windowing approach makes available functions of time that are closed-forms suitable for describing the trajectories of the swarm members for a single time-window. The whole trajectory of a swarm member is then obtained by means of the union of all the paths which have been followed by that member. The proposed continuous algorithms have been validated on famous benchmark functions and the obtained results have been compared with those coming from the corresponding numerical algorithms.
机译:提出了一种新的基于群算法的类型学,该算法采用连续体中编写的解析封闭形式。首先通过将基于数字群的算法简单地转换为时域的微分方程(状态方程)来引入连续算法。通过使用时间窗方法对这些状态方程进行积分,可以得到时间的可用函数,这些函数是适合描述单个时间窗口的群体成员轨迹的封闭形式。然后通过该成员所遵循的所有路径的并集来获得该群体成员的整个轨迹。所提出的连续算法已经在著名的基准函数上得到了验证,并将所得结果与相应的数值算法进行了比较。

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