Source code for evolving Evolutionary Algorithms with MEP is available for download

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Mihai Oltean

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Dec 4, 2016, 5:24:03 AM12/4/16
to Multi Expression Programming
Dear friends,

Source code for evolving Evolutionary Algorithms with MEP is available for download from: https://github.com/mihaioltean/evolve-algorithms

This idea was first described in this paper:

Oltean Mihai, Grosan C., Evolving Evolutionary Algorithms using Multi Expression Programming, The 7th European Conference on Artificial Life, September 14-17, 2003, Dortmund, Edited by W. Banzhaf (et al), LNAI 2801, pp. 651-658, Springer-Verlag, Berlin, 2003

Abstract:
Finding the optimal parameter setting (i.e. the optimal population size, the optimal mutation probability, the optimal evolutionary model etc) for an Evolutionary Algorithm (EA) is a difficult task. Instead of evolving only the parameters of the algorithm we will evolve an entire EA capable of solving a particular problem. For this purpose the Multi Expression Programming (MEP) technique is used. Each MEP chromosome will encode multiple EAs. An nongenerational EA for function optimization is evolved in this paper. Numerical experiments show the effectiveness of this approach. 

regards,
mihai

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