Evolutionary synthesis of analog networks

he significant increase in the available computational power that took place in recent decades has been accompanied by a growing interest in the application of the evolutionary approach to the synthesis of many kinds of systems and, in particular, to the synthesis of systems like analog electronic circuits, neural networks, and, more generally, autonomous systems, for which no satisfying systematic and general design methodology has been found to date. Despite some interesting results in the evolutionary synthesis of these kinds of systems, the endowment of an artificial volutionary process with the potential for an appreciable increase of complexity of the systems thus generated appears still an open issue. In this thesis the problem of the evolutionary growth of complexity is addressed taking as starting point the insights contained in the published material reporting the unfinished work done in the late 1940s and early 1950s by John von Neumann on the theory of self-reproducing...

• Type: Dissertation
• Year: 2005
• Where: Ph.D. Thesis n. 3199, École Polytechnique Fédérale de Lausanne (EPFL)
• Authors: Claudio Mattiussi
• Keywords: Evolutionary Computation, Networks, Neural Networks