Abstract
A new Genetic Programming variant called Liquid State Genetic Programming (LSGP) is proposed in this paper. LSGP is a hybrid method combining a dynamic memory for storing the inputs (the liquid) and a Genetic Programming technique used for the problem solving part. Several numerical experiments with LSGP are performed by using several benchmarking problems. Numerical experiments show that LSGP performs similarly and sometimes even better than standard Genetic Programming for the considered test problems. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Oltean, M. (2007). Liquid state genetic programming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4431 LNCS, pp. 220–229). Springer Verlag. https://doi.org/10.1007/978-3-540-71618-1_25
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