Liquid State Genetic Programming
| Autor: | Oltean, Mihai |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | In: Beliczynski, B., Dzielinski, A., Iwanowski, M., Ribeiro, B. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2007. Lecture Notes in Computer Science, vol 4431. Springer |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1007/978-3-540-71618-1_25 |
| Popis: | 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. Comment: 10 pages, 1 figure, ICANNGA 2007, Lecture Notes in Computer Science, pp 220-229, vol 4431. Springer. arXiv admin note: text overlap with arXiv:2110.02014, arXiv:2111.14790 |
| Databáze: | arXiv |
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