Abstract
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.
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del Rosal, E., de la Cruz, M., Ortega de la Puente, A. (2011). Towards the Automatic Programming of NEPs. In: Ferrández, J.M., Álvarez Sánchez, J.R., de la Paz, F., Toledo, F.J. (eds) Foundations on Natural and Artificial Computation. IWINAC 2011. Lecture Notes in Computer Science, vol 6686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21344-1_32
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DOI: https://doi.org/10.1007/978-3-642-21344-1_32
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