Tutorials

Dimitrios Gerontitis, Simulink implementation of different recurrent neural networks for solving linear systems

Vladimir Stanovov, Competitions in evolutionary computation

Simulink implementation of different recurrent neural networks for solving linear systems

Matlab Simulink environment is a useful tool for designing the different kinds of recurrent neural network (RNN) models. The advantage of the use of this specific environment is based on the different blocks which include and can be applied for the construction of zeroing neural networks (ZNN) and the corresponding nonlinear activation functions (Afs). In the context of this tutorial, the basic blocks analyzed and Simulink models of different nonlinear activation functions are represented.

Competitions in evolutionary computation

Today every large conference on evolutionary algorithms and methods holds a set of competitions, associated with special sessions. The goal of such competitions is to bring together and compare ideas developed by different scientific groups around the globe, and establish the most promising ones. In this tutorial the competitions held within WCCI, GECCO and ICSI competitions will be considered, and a step-by-step instructions on how to participate will be given for some of them.