— Computational complexity is a major challenge in evolutionary algorithms due to their need for repeated fitness function evaluations. Here, we aim to reduce number of fitness f...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
This paper gives an overview over the progress that has been made by the Heidelberg FPTA group within the field of analog evolvable hardware. Achievements are the design of a CMOS...
Abstract. Memetic Algorithms are the most frequently used hybrid of Evolutionary Algorithms (EA) for real-world applications. This paper will deal with one of the most important ob...
In this paper we report new results concerning use of genetic algorithms in conformational analysis, field of pharmacy related to discovery and design of new drugs. The goal is to ...
Aleksander Wawer, Franciszek Seredynski, Pascal Bo...