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Stabilization of Higher Periodic Orbits of the Lozi and Hénon Maps using Meta-evolutionary Approaches

机译:使用META进化方法稳定LOZI和HÉNON地图的较高周期性轨道

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This paper deals with an advanced adjustment of stabilization sequences for selected discrete chaotic systems by means of meta-evolutionary approaches. As the representative models of deterministic chaotic systems, a two dimensional Lozi map and two dimensional Hénon map were used. The novelty of the approach is in an effective use of a new type of objective function, which is essential for the whole optimization process of higher periodic orbits as well as an effective use of advanced metaheuristic optimization methods. Although the task of stabilizing the Lozi and Hénon chaotic systems is known, its solution presented for periodic orbit four is not trivial. The task of stabilizing the Lozi chaotic systems for period four is a new approach. Furthermore, modern meta-heuristics were used for own design of the external disturbance sequences. The used optimization methods are a naive grid-based algorithm (NG), a grid-based Nelder-Mead Algorithm (NM), a Genetic Algorithm (GA) as well as Genetic Programming (GP). A connection of GP and second level optimization using GA displays significantly better results than the given stand-alone meta-heuristic techniques.
机译:本文通过元进化方法涉及所选择的离散混沌系统的稳定序列的高级调整。作为确定性混沌系统的代表性模型,使用了二维LOZI地图和二维Hénon地图。该方法的新颖性是有效地利用新型的客观函数,这对于较高周期性轨道的整个优化过程至关重要,以及有效使用先进的成胸型优化方法。尽管已知稳定Lozi和Hénon混沌系统的任务,但其用于定期轨道四的解决方案并不差。稳定罗兹混沌系统的任务是一个新的方法是一种新方法。此外,现代元启发式用于自身设计的外部干扰序列。使用的优化方法是基于朴素的基于网格的算法(NG),基于网格的Nelder-Mead算法(NM),遗传算法(GA)以及遗传编程(GP)。使用GA的GP和第二级优化的连接明显更好地比给定的独立元 - 启发式技术更好。

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