期刊名称：Journal of Computer Science & Systems Biology
印刷版ISSN：0974-7230
出版年度：2013
卷号：6
期号：2
页码：043-047
DOI：10.4172/jcsb.1000099
出版社：OMICS Publishing Group
摘要：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.
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