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This paper aims to present the combination of chaotic signal and evolutionary algorithm to estimate the unknown parameters in five-dimension chaos synchronization system via the Pecora-Carroll method. The self-organizing migrating algorithm was used to estimate the unknown parameters. Based on the results from evolutionary algorithm, two identical chaotic(More)
This paper presents a novel method for visualizing the dynamics of evolutionary algorithms in the form of complex networks. We discuss the analogy between individuals in populations in an arbitrary evolutionary algorithm and vertices of a complex network, as well as between edges in a complex network and communication between individuals in a population.(More)
Aim of this article is to clarify the potential use of EEG signal in modern information age. The basic principle of Brain Computer Interface (BCI) lies in the connection of brain waves with output device through some interface. BCI technology represents a communication interface between brain and computer. To sense electric signal from the brain, it is(More)
In this article the authors discuss a new method of the so-called complex networks dynamics and its visualization by means of so called coupled map lattices method. The main aim of this article is to investigate whether it is possible to visualize complex network dynamics by means of the same method that is used to model spatiotemporal chaos. The authors(More)
In this article we discuss relations between the so-called complex networks and dynamics of evolutionary algorithms. The main aim of this article is to investigate whether it is possible to model (or vizualize) evolutionary dynamics as complex networks, whose connections will represent interactions amongst the individuals during all generations. Our(More)