Liquid State Genetic Programming

author = "Mihai Oltean",

title = "Liquid State Genetic Programming",

year = "2007",

bibsource = "DBLP, http://dblp.uni-trier.de",

booktitle = "8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, Part I",

editor = "Bartlomiej Beliczynski and Andrzej Dzielinski and Marcin Iwanowski and Bernardete Ribeiro",

series = "Lecture Notes in Computer Science",

volume = "4431",

pages = "220--229",

address = "Warsaw, Poland",

month = apr # " 11-14",

publisher = "Springer",

keywords = "genetic algorithms, genetic programming",

isbn13 = "978-3-540-71589-4",

DOI = "

doi:10.1007/978-3-540-71618-1_25",

size = "10 pages",

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.",

notes = "liquid programming previously used as way of conditioning inputs for ANN now used with GP to solve even parity.",