1. A. Bonarini, Evolutionary Learning of Fuzzy Rules: Competition and Cooperation, in: W. Pedrycz (Ed.), Fuzzy Modeling: Paradigms and Practice, Kluwer Academic Publishers, Norwell, MA, 1996, pp. 265–284.
2. A. Bessonov, N. Umnov, The analysis of gaits in six-legged vehicle according to their static stability, in: Proceedings of the Symposium on Theory and Practice of Robots and Manipulators, Udine, Italy, 1973.
3. J. Canny, J. Reif, New lower bound techniques for robot motion planning problems, in: Proceedings of the 27th IEEE Symposium on Foundations of Computer Science, Los Angeles, CA, 1987, pp. 49–60.
4. O. Cordon, F. Herrera, Generating and selecting fuzzy control rules using evolution strategies and genetic algorithms, in: Proceedings of the Sixth International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems (IPMU’96), Granada, Spain, 1996, pp. 733–738.
5. J.J. Cupal, B.M. Wilamowski, Selection of fuzzy rules using a genetic algorithm, in: Proceedings of the World Congress on Neural Networks (WCNN’94), Vol. 1, San Diego, CA, 1994, pp. A814–A819.