A new model of Genetic Programming with variable size population is presented in this paper and applied to the reconstruction of target functions in dynamic environments (i.e. problems where target functions change with time). The suitability of this model is tested on a set of benchmarks based on some well known symbolic regression problems. Experimental results confirm that our variable size population model finds solutions of the same quality as the ones found by standard Genetic Programming, but with a smaller amount of computational effort.
Cuccu, G., Vanneschi, L. (2009). Variable size population for dynamic optimization with genetic programming. In Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009 (pp.1895-1896). ACM [10.1145/1569901.1570222].
Variable size population for dynamic optimization with genetic programming
VANNESCHI, LEONARDO
2009
Abstract
A new model of Genetic Programming with variable size population is presented in this paper and applied to the reconstruction of target functions in dynamic environments (i.e. problems where target functions change with time). The suitability of this model is tested on a set of benchmarks based on some well known symbolic regression problems. Experimental results confirm that our variable size population model finds solutions of the same quality as the ones found by standard Genetic Programming, but with a smaller amount of computational effort.
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