WIT Press


Simulating Evolution With Mathematica

Price

Free (open access)

Volume

15

Pages

10

Published

1997

Size

1,119 kb

Paper DOI

10.2495/IMS970351

Copyright

WIT Press

Author(s)

C. Jacob

Abstract

Evolutionary mechanisms as observed in nature are successfully used in evo- lutionary algorithms (EA) in order to solve complex optimization tasks or to mimick natural evolution processes. We present a collection of evolutionary algorithms which we have implemented in Mathematica together with some visualization examples and applications. The three major EA-classes are dis- cussed: Evolution Strategies (ES), Genetic Algorithms (GA), and Genetic Programming (GP). Interactive evolution is demonstrated by the breeding of biomorphs, recursively branched line drawings. Multi-modal ES- and GA- experiments are demonstrated for a parameter optimization task. The evolu- tion of robot control programs shows a simple GP-application. The article concludes with a more sophisticated GP-example: the breeding o

Keywords



Warning (2) : foreach() argument must be of type array|object, null given [in /var/www/dce7ae55-385b-4ffa-8595-3ec5e61ff110/public_html/app/templates/Papers/view.php, line 364]