Grammatical HerdingChris Headleand and William J. Teahan*
School of Computer Science, Bangor University, Bangor, Wales, UK
- *Corresponding Author:
- William J. Teahan
School of Computer Science
Bangor, Wales, UK
E-mail: [email protected]
Received date: December 26, 2012; Accepted date: January 19, 2013; Published date: January 22, 2013
Citation: Headleand C, Teahan WJ (2013) Grammatical Herding. J Comput Sci Syst Biol 6:043-047. doi:10.4172/jcsb.1000099
Copyright: © 2013 Headleand C, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Automatic programming algorithms have often looked towards biology to provide inspiration for how agents can learn to solve problems. Evolutionary and swarm based methods in particular have shown great promise in how this objective can be achieved. We present Grammatical Herding, a new fitness-based automatic programming algorithm based on a simple set of rules inspired by the herd movements of horses. In this paper, we establish the design of the new algorithm and test it against a standard benchmark problem, the Santa Fe Trail.