The microbial genetic algorithm

Authors:
Inman Harvey
Affiliations:
Evolutionary and Adaptive Systems Group, Centre for Computational Neuroscience and Robotics, Department of Informatics, University of Sussex, Brighton, UK
Venue:
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part II
Year:
2009

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Abstract

We analyse how the conventional Genetic Algorithm can be stripped down and reduced to its basics. We present a minimal, modified version that can be interpreted in terms of horizontal gene transfer, as in bacterial conjugation. Whilst its functionality is effectively similar to the conventional version, it is much easier to program, and recommended for both teaching purposes and practical applications. Despite the simplicity of the core code, it effects Selection, (variable rates of) Recombination, Mutation, Elitism ('for free') and Geographical Distribution.