Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
We present a simple framework for dealing with search spaces consisting of permutations. To demonstrate its usefulness, we build upon it a simple (1 + 1)-evolutionary algorithm fo...
In recent years, there has been an increase in research activities on Memetic Algorithm (MA). MA works with memes; a meme being defined as “the basic unit of cultural transmiss...
This article presents an optimization method used at the electric-motor design. The goal of the optimization was to find the geometrical parameter values that would generate the r...
Abstract The increasing complexity of heterogeneous systems-on-chip, SoC, and distributed embedded systems makes system optimization and exploration a challenging task. Ideally, a ...
Arne Hamann, Marek Jersak, Kai Richter, Rolf Ernst