Michael Sanders
ABSTRACT
We consider the application of Evolutionary Algorithms (EAs) to the problem of automating the locomotion of computer-simulated creatures. We introduce niching as a way of maintaining genetic diversity and show that it results in the generation of a range of locomotion controllers and increases the probability of finding difficult or rare locomotion modes.
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Digital Library
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- PETROWSKI, A. 1997. A New Selection Operator Dedicated to Speciation. In Th. Baeck, ed., Proc. Seventh International Conference on Genetic Algorithms, (ICGA97), Morgan Kaufmann, San Francisco, CA, pp 144-151.Google Scholar
- SANDERS, M. 2000. Evolving Locomotion Controllers for Virtual Creatures. MSc thesis, Dept of Computer Science, University of Auckland, Auckland, New Zealand. http://www.cs.auckland.ac.nz/GG/michael_sanders.html.Google Scholar
- SANDERS, M., LOBB, R., RIDDLE, P. 2000. Locomotion Controllers for Mass-Spring Creatures. In Proc. Advances in Intelligent Systems, Theory and Applications, Canberra, Australia, February 2000, pp 189-194.Google Scholar
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- Evolving controllers for virtual creature locomotion
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