• Home
• Register an Account
• New Title Information Alerts
• Contact Us
• Overview of the Wessex Institute of Technology

Adobe PDF Reader is required to view our papers:

Simulating Evolution with Mathematica

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... Pages: 10 Size: 1,119 kb Paper DOI: 10.2495/IMS970351

Download the Full Article Price: US$ 0.00 This article is part of the WIT OpenView scheme and you can download the full text Adobe PDF article for FREE by clicking the 'Openview' icon below. Send this page to a colleague. This paper can be found in the following book Innovation in Mathematics Buy Book from Witpress.com

---

Download the Full Article This article is part of the WIT OpenView scheme and you can download the full text Adobe PDF article for FREE by clicking the 'Openview' icon to the right.