This paper presents the design of an infinite horizon nonlinear optimal neurocontroller that replaces the conventional automatic voltage regulator and the turbine governor (CONVC)...
Jung-Wook Park, Ronald G. Harley, Ganesh K. Venaya...
This paper presents the artificial intelligence techniques to control a proton exchange membrane fuel cell system process using particularly a methodology of dynamic neural networ...
Youssef M. ElSayed, Moataz H. Khalil, Khairia E. A...
We present an application of multi-objective evolutionary optimization of feed-forward neural networks (NN) to two real world problems, car and face classification. The possibly co...
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
— Determining the optimal topology of a graph is pertinent to many domains, as graphs can be used to model a variety of systems. Evolutionary algorithms constitute a popular opti...