Towards the Automatic Programming of NEPs
This paper shows the platform with which we implement a general methodology to automatically design NEPs to solve specific problems. We use CGE/AGE (a new genetic programming algorithm) and jNEP (a Java NEP simulator), two applications we have previously developed. This work is just a proof of viability. We are interested on linking all the modules and generating the initial population. Building this platform is relevant, because our methodology includes several non trivial steps, such as designing a grammar, and implementing and using a simulator. For this first proof we have choosen a well known problem that other authors have solved by means of NEPs.
KeywordsContext Free Grammar Automatic Program Semantic Constraint High Level Programming Natural Computer
Unable to display preview. Download preview PDF.
- 6.del Rosal, E., Nun̈ez, R., Castan̈da, C., Ortega, A.: Simulating neps in a cluster with jnep. In: Proceedings of International Conference on Computers, Communications and Control, ICCCC 2008 (2008)Google Scholar
- 9.Martin-Vide, C., Mitrana, V., Perez-Jimenez, M.J., Sancho-Caparrini, F.: Hybrid networks of evolutionary processors. In: Cantú-Paz, E., Foster, J.A., Deb, K., Davis, L., Roy, R., O’Reilly, U.-M., Beyer, H.-G., Kendall, G., Wilson, S.W., Harman, M., Wegener, J., Dasgupta, D., Potter, M.A., Schultz, A., Dowsland, K.A., Jonoska, N., Miller, J., Standish, R.K. (eds.) GECCO 2003. LNCS, vol. 2723, pp. 401–412. Springer, Heidelberg (2003)CrossRefGoogle Scholar
- 10.ONeill, M., Conor, R.: Grammatical Evolution, evolutionary automatic programming in an arbitrary language. Kluwer Academic Publishers, Dordrecht (2003)Google Scholar