The world around us may be viewed as a network of entities interconnected via their social,
economic, and political interactions. These entities and their interactions form a social …

Abstract Most Genetic Programming implementations use an interpreter to execute an
individual, in order to obtain its outcome. Usually, such interpreter is the main bottleneck of …

Computer viruses have become complex and operates in a stealth mode to avoid detection.
New viruses are argued to be created each and every day. However, most of these …

There is a general consensus that obtaining a highly optimized and accurate representation
of incoming signals is of paramount importance for both artificial intelligence systems and …

This paper presents a GPU-based parallelized and a CPU-based serial Monte-Carlo
method for breakage of a particle. We compare the efficiency of the graphic card's graphics …

Genetic Programming is a type of biological inspired machine learning. It is composed of a
population of stochastic individuals. Those individuals can exchange portions of themselves …

Three approaches to implement genetic programming on GPU hardware are compilation,
interpretation and direct generation of machine code. The compiled approach is known to …

Genetic programming (GP) is an evolutionary method that allows computers to solve
problems automatically. However, the computational power required for the evaluation of …

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