Evolution of affine transformations and iterated function systems using hierarchical evolution strategy

Authors: Sarafopoulos, A.

Volume: 2038

Pages: 176-191

ISBN: 9783540418993

DOI: 10.1007/3-540-45355-5_14

Abstract:

Often optimization problems involve the discovery of many scalar coefficients. Although genetic programming (GP) has been applied to the optimization and discovery of functions with an arbitrary number of scalar coefficients, recent results indicate that a method for fine-tuning GP scalar terminals can assist the discovery of solutions. In this paper we demonstrate an approach where genetic programming and evolution strategies (ES) are seamlessly combined. We apply our GP/ES hybrid, which we name Hierarchical Evolution Strategy, to the problem of evolving affine transformations and iterated function systems (IFS). We compare the results of our approach with GP and notice an improvement in performance in terms of discovering bsetter solutions and speed.

Source: Scopus

Evolution of affine transformations and iterated function systems using hierarchical evolution strategy

Authors: Sarafopoulos, A.

Volume: 2038

Pages: 176-191

Source: Web of Science (Lite)

Evolution of Affine Transformations and Iterated Function Systems using Hierarchical Evolution Strategy

Authors: Sarafopoulos, A.

Publisher: Springer

Place of Publication: Berlin

Abstract:

Often optimization problems involve the discovery of many scalar coefficients. Although genetic programming (GP) has been applied to the optimization and discovery of functions with an arbitrary number of scalar coefficients, recent results indicate that a method for fine-tuning GP scalar terminals can assist the discovery of solutions. In this paper we demonstrate an approach where genetic programming and evolution strategies (ES) are seamlessly combined. We apply our GP/ES hybrid, which we name Hierarchical Evolution Strategy, to the problem of evolving affine transformations and iterated function systems (IFS). We compare the results of our approach with GP and notice an improvement in performance in terms of discovering better solutions and speed.

http://www.springerlink.com/content/75r7b1yu246j7798/?p=7fd5637268e44c459bdcc9e543d7f87d&pi=1

Source: Manual

Preferred by: Ari Sarafopoulos

Evolution of Affine Transformations and Iterated Function Systems Using Hierarchical Evolution Strategy.

Authors: Sarafopoulos, A.

Editors: Miller, J.F., Tomassini, M., Lanzi, P.L., Ryan, C., Tettamanzi, A. and Langdon, W.B.

Volume: 2038

Pages: 176-191

Publisher: Springer

https://doi.org/10.1007/3-540-45355-5

Source: DBLP