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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 Levy flight is the best option to characterize this optimal problem, however, which ignores the understanding and learning abilities of the searcher agents. In the 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:随机定位目标站点受到物理和生物限制的最有效的搜索策略是什么?以前的结果表明,Levy飞行是表征这种最佳问题的最佳选择,这忽略了搜索者的理解和学习能力。在论文中,我们提出了连续时间随机步行(CTRW)最佳搜索框架,并找到搜索长度和等待时间分布的最佳选择。基于分数微积分技术,我们进一步推出了其主方程来展示这种复杂分数动态的机制。提供了许多模拟,以说明非破坏性和破坏性案例。

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