Ivan Zelinka教授


Title: On Close Relations of Evolutionary Dynamics, Chaos and Complexity

Abstract:In this keynote speech, the contents will contain three mutually joined parts, namely introducing a novel approach joining evolutionary dynamics, complex networks and CML systems exhibiting chaotic behavior. The first part will discuss a novel method on how dynamics of evolutionary algorithms can be visualized in the form of complex networks. An analogy between individuals in the populations in an arbitrary evolutionary algorithm and the vertices in a complex network will be discussed as well as the relationship between the communications of individuals in a population and the edges in a complex network. The second part will discuss the possibility of how to visualize the dynamics of a complex network by means of coupled map lattices and to control by means of chaos control techniques. The last part will discuss some possibilities on CML systems control, especially by means of evolutionary algorithms. The spirit of this keynote speech is to create a closed loop in the following schematic: evolutionary dynamics --> complex network --> CML system --> control CML --> control evolutionary dynamics. Real-time simulations as well as animations and pictures demonstrating the presented ideas will be presented through this keynote speech.