Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Methods for Competitive Co-Evolution: Finding Opponents Worth Beating
Proceedings of the 6th International Conference on Genetic Algorithms
An Algorithm for Robot Path Planning with Cellular Automata
Proceedings of the Fourth International Conference on Cellular Automata for Research and Industry: Theoretical and Practical Issues on Cellular Automata
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
Emergent Motion Characteristics of a Modular Robot through Genetic Algorithm
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
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In this paper we report preliminary findings of using cellular automata (CA) as an underlying architecture in controlling the motion of a five-legged brittle star typed robot. Three control models were incrementally designed making use of genetic algorithm (GA) as well as co-evolutionary algorithm in finding appropriate rules for automaton. Simulations using Open Dynamics Engine (ODE) was used to verify the rules obtained for each of the models. The indications from the results are promising in support for CA as feasible means for motion control.