Network Topologies for Cellular Automata Computation

Author:

Chira Camelia,Andreica Anca

Publisher

Springer Berlin Heidelberg

Reference22 articles.

1. Andre, D., Bennett III, F.H., Koza, J.R.: Discovery by genetic programming of a cellular automata rule that is better than any known rule for the majority classification problem. Proceedings of the First Annual Conference on Genetic Programming. GECCO ’96, pp. 3–11. MA, USA, MIT Press, Cambridge (1996)

2. Baetens, J.M., De Baets, B.: Topology-induced phase transitions in totalistic cellular automata. Physica D 249, 16–24 (2013)

3. Darabos, C., Giacobini, M., Tomassini, M.: Performance and robustness of cellular automata computation on irregular networks. Adv. Complex Syst. 10, 85–110 (2007)

4. Darabos, C., Tomassini, M., Di Cunto, F., Provero, P., Moore, J.H., Giacobini, M.: Toward robust network based complex systems: from evolutionary cellular automata to biological models. Intelligenza Artificiale 5(1), 37–47 (2011)

5. Ferreira, C.: Gene Expression Programming: A New Adaptive Algorithm for Solving Problems. Complex Systems 13(2), 87–129 (2001)

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