Path Planning in Probabilistic Environment by Bacterial Memetic Algorithm

Author:

Botzheim János,Toda Yuichiro,Kubota Naoyuki

Publisher

Springer Berlin Heidelberg

Reference21 articles.

1. Botzheim, J., Cabrita, C., Kóczy, L.T., Ruano, A.E.: Fuzzy rule extraction by bacterial memetic algorithms. In: Proceedings of the 11th World Congress of International Fuzzy Systems Association, Beijing, China, pp. 1563–1568 (2005)

2. Botzheim, J., Toda, Y., Kubota, N.: Bacterial memetic algorithm for offline path planning of mobile robots. Memetic Computing (2012), doi: 10.1007/s12293-012-0076-0

3. Caponio, A., Cascella, G.L., Neri, F., Salvatore, N., Sumner, M.: A fast adaptive memetic algorithm for online and offline control design of PMSM drives. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 37, 28–41 (2007)

4. Cordeiro, C.M., Agrawal, D.P.: Ad Hoc & Sensor Networks – Theory and Applications. World Scientific Publishing (2006)

5. Drobics, M., Botzheim, J.: Optimization of fuzzy rule sets using a bacterial evolutionary algorithm. Mathware and Soft Computing 15(1), 21–40 (2008)

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