Abstract. Genetic Programming has been slow at realizing other programming paradigms than conventional, deterministic, sequential vonNeumann type algorithms. In this contribution w...
This paper deals with low-energy code generation for a highly optimized digital signal processor designed for mobile communication applications. We present a genetic algorithm bas...
Markus Lorenz, Rainer Leupers, Peter Marwedel, Tho...
The random number generator is one of the important components of evolutionary algorithms (EAs). Therefore, when we try to solve function optimization problems using EAs, we must ...
Flexibility and automation in assembly lines can be achieved by the use of robots. The robotic assembly line balancing (RALB) problem is defined for robotic assembly line, where d...
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...