TWEANN Approach to the Double Pole Balancing Problem

Author:

Hiraga Motoaki1,Watanabe Yu1,Ohkura Kazuhiro1

Affiliation:

1. Graduate School of Engineering, Hiroshima University

Publisher

The Institute of Systems, Control and Information Engineers

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference15 articles.

1. [1] A. E. Eiben and J. E. Smith: Introduction to Evolutionary Computing, Springer, Vol. 53, p. 18 (2003)

2. [2] X. Yao: Evolving artificial neural networks; Proceedings of the IEEE, Vol. 87, No. 9, pp. 1423–1447 (1999)

3. [3] P. J. Angeline, et al.: An evolutionary algorithm that constructs recurrent neural networks; IEEE Transactions on Neural Networks, Vol. 5, pp. 54–65 (1994)

4. [4] F. Gruau, D. Whitley and L. Pyeatt: A comparison between cellular encoding and direct encoding for genetic neural networks; Proceedings of the 1st Annual Conference on Genetic Programming, pp. 81–89 (1996)

5. [5] F. Gomez and R. Miikkulainen: Solving non-Markovian control tasks with neuroevolution; 16th International Joint Conference on Artificial Intelligence, pp. 1356–1361 (1999)

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