2009 Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems Self-Adaptation of Genetic Operator Probabilities Using Differential Evolution San Francisco, California, USA September 14-September 18 ISBN: 978-0-7695-3794-8
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SASO.2009.13
In this work a novel approach is proposed to adaptively adjust genetic operator probabilities through the adoption of a robust, real-valued optimization algorithm known as Differential Evolution (DE). We set up a series of experiments on a wide array of symbolic regression problems. The experimental results demonstrate the supremacy of our proposed method over the compared rivals both in the accuracy and reliability of the final solutions.
Index Terms:
self-adatation, evolutionary algorithms, genetic operator probabilities
Citation:
Fatemeh Vafaee, Peter C. Nelson, "Self-Adaptation of Genetic Operator Probabilities Using Differential Evolution," saso, pp.274-275, 2009 Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||