  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.
