Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Hardware Solutions for Evolutionary Robotics
Proceedings of the First European Workshop on Evolutionary Robotics
A Divide-and-Conquer Approach to Evolvable Hardware
ICES '98 Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware
Bidirectional Incremental Evolution in Extrinsic Evolvable Hardware
EH '00 Proceedings of the 2nd NASA/DoD workshop on Evolvable Hardware
Real-world applications of analog and digital evolvable hardware
IEEE Transactions on Evolutionary Computation
Exploring Grammatical Evolution for Horse Gait Optimisation
EuroGP '09 Proceedings of the 12th European Conference on Genetic Programming
An evolved neural controller for bipedal walking with dynamic balance
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
The X2 modular evolutionary robotics platform
ICES'10 Proceedings of the 9th international conference on Evolvable systems: from biology to hardware
EvoCOP'10 Proceedings of the 10th European conference on Evolutionary Computation in Combinatorial Optimization
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In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental approach combining a genetic algorithm (GA) with hill climbing is proposed. This combination interacts in an efficient way to generate precise walking patterns in less than 15 generations. Our proposal is compared to various versions of GA and stochastic search, and finally tested on a pneumatic biped walking robot.