Abstract
I start with a basic tutorial on Artificial Evolution, and then show the simplest possible way of implementing this with the Microbial Genetic Algorithm. I then discuss some shortcomings in many of the basic assumptions of the orthodox Genetic Algorithm (GA) community, and give a rather different perspective. The basic principles of SAGA (Species Adaptation GAs) will be outlined, and the concept of Neutral Networks, pathways of level fitness through a fitness landscape will be introduced. A practical example will demonstrate the relevance of this.
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© 2001 Springer-Verlag Berlin Heidelberg
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Harvey, I. (2001). Artificial Evolution: A Continuing SAGA. In: Gomi, T. (eds) Evolutionary Robotics. From Intelligent Robotics to Artificial Life. EvoRobots 2001. Lecture Notes in Computer Science, vol 2217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45502-7_5
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DOI: https://doi.org/10.1007/3-540-45502-7_5
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