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C. FERREIRA In A. Abraham, J. Ruiz-del-Solar, and M. Köppen (eds), Soft Computing Systems: Design, Management and Applications, pp. 153-162, IOS Press, Netherlands, 2002.

Analyzing the Founder Effect in Simulated Evolutionary Processes Using Gene Expression Programming

Setting the System
In order to quantify accurately how different populations respond to the number of actual founders in initial populations, a simple, exactly solved problem must be chosen. This problem must allow the comparison of dissimilarly performing genetic operators, such as the high-performing point mutation and the less powerful recombination. In addition, the populations chosen to make the comparisons must follow different evolutionary dynamics so that the results discussed here could be useful not only theoretically but also for understanding the evolutionary strategies chosen by different artificial evolutionary systems.

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