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Extra resources for A 3/4-Approximation Algorithm for Multiple Subset Sum

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It allows us to model uncertainty and imprecision, to build robust controllers based on the heuristic and qualitative models, and to combine symbolic reasoning and numeric computation. Thus, fuzzy logic is an effective tool to represent real world environments. In evolutionary robotics, fuzzy logic has been used to design sensor interpretation systems since it is good at describing uncertain and imprecise Artificial Evolution Based Autonomous Robot Navigation 17 information. All the specific methods have their own strengths and drawbacks.

1996). Evolution of homing navigation in a real mobile robot. IEEE Transactions on Systems, Man and Cybernetics - Part B, 26 (3). , and Urzelai, J. (2000), Evolutionary robots with on-line selforganization and behavioral fitness, Neural Networks, 13, pp. 431-443. Fogel, D. B. (2000a). What is evolutionary computation? IEEE Spectrum, pp. 26-32. Fogel, D. B. (2000b). Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, Second Edition, IEEE Press. N. J. , and Arai, F. (1999).

1998). Blurred vision: Simulation-reality transfer of a visually guided robot, Proceedings of the First European Workshop on Evolutionary Robotics 98 (EvoRobot98), France, pp. 152-164. Sridhar, M. and Connell, J. (1992). Automatic programming of behavior-based robots using reinforcement learning, Artificial Intelligence, vol. 55, nos. 2-3, pp. 311-365. , A. C. (1987). Robotics and Ah An Introduction to Applied Machine Intelligence, Prentice-Hall, Englewood Cliffs, N. J. Steels, L. (1995). Discovering the competitors.

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