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Optimal random search, fractional dynamics and fractional calculus

机译:最佳随机搜索,分数动力学和分数微积分

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What is the most efficient search strategy for the random located target sites subject to the physical and biological constraints? Previous results suggested the Lévy flight is the best option to characterize this optimal problem, however, which ignores the understanding and learning abilities of the searcher agents. In this paper we propose the Continuous Time Random Walk (CTRW) optimal search framework and find the optimum for both of search length’s and waiting time’s distributions. Based on fractional calculus technique, we further derive its master equation to show the mechanism of such complex fractional dynamics. Numerous simulations are provided to illustrate the non-destructive and destructive cases.
机译:受物理和生物学限制的随机定位目标站点最有效的搜索策略是什么?先前的结果表明,Lévy航班是表征此最优问题的最佳选择,但是,它忽略了搜索代理的理解和学习能力。在本文中,我们提出了连续时间随机游走(CTRW)最优搜索框架,并针对搜索长度和等待时间的分布找到了最优的搜索框架。基于分数演算技术,我们进一步推导了其主方程,以显示这种复杂的分数动力学的机理。提供了许多模拟来说明非破坏性和破坏性情况。

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