Graphs are a ubiquitous data structure in computer science and can be used to represent
solutions to difficult problems in many distinct domains. This motivates the use of …

Motivated by biological inspiration and the issue of instruction disruption, we develop a new
form of Linear Genetic Programming (LGP) called Parallel LGP (PLGP) for classification …

Reconsideration and Extension of Cartesian Genetic Programming Page 1 Reconsideration
and Extension of Cartesian Genetic Programming Dissertation zur Erlangung des Grades eines …

Bent Boolean functions are cryptographic primitives essential for the safety of cryptographic
algorithms, providing a degree of non-linearity to otherwise linear systems. The maximum …

Zdenek Vašıcek received all his degrees from Brno University of Technology, Czech
Republic, where he is currently an Associate professor. He holds a Ph. D.(2012) and an MS …

The assessment of sites for liquefaction potential in earthquakes currently relies on the
estimation of soil layer models which is laborious and standard regression techniques …

An investigation is performed of a machine learning algorithm and the Bayesian classifier in
the spam-filtering context. The paper shows the advantage of the use of Reverse Polish …

Abstract Parallel Linear Genetic Programming (PLGP) is an architecture that addresses
instruction dependencies in Linear Genetic Programming (LGP). The Co-operative …

Parallel Linear Genetic Programming (PLGP) is an exciting new approach to Linear Genetic
Programming (LGP) which decreases building block disruption and significantly improves …

Özet Birçok mühendislik problemin çözümü modelleme ve benzetim yaklaşımları ile
çözümlenm rağmen tam olarak çözülemeyen çok sayıda zor m problemi bulunmaktadır. Zor …