Evolving Simple Symbolic Regression Models by Multi-Objective Genetic Programming

Author:

Kommenda Michael,Kronberger Gabriel,Affenzeller Michael,Winkler Stephan M.,Burlacu Bogdan

Publisher

Springer International Publishing

Reference18 articles.

1. Affenzeller M, Winkler S, Kronberger G, Kommenda M, Burlacu B, Wagner S (2014) Gaining deeper insights in symbolic regression. In: Riolo R, Moore JH, Kotanchek M (eds) Genetic programming theory and practice XI. Genetic and evolutionary computation. Springer, New York

2. Breiman L, Friedman J, Stone CJ, Olshen RA (1984) Classification and regression trees. CRC Press, Boca Raton

3. Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evolut Comput 6(2):182–197

4. Dignum S, Poli R (2008) Operator equalisation and bloat free gp. In: Genetic programming. Springer, Berlin, pp 110–121

5. Friedman JH (1991) Multivariate adaptive regression splines. Ann Stat 19(1):1–67. https://projecteuclid.org/euclid.aos/1176347963

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