Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
HGA: a hardware-based genetic algorithm
FPGA '95 Proceedings of the 1995 ACM third international symposium on Field-programmable gate arrays
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Q-learning based on hierarchical evolutionary mechanism
WSEAS Transactions on Systems and Control
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Evolution robotics is one of the autonomous learning and its approaches have been applied to various fields. In this paper, we discuss new evolutionary robotics technique. The proposed evolutionary robotics acquires their behavior using genetic-based machine learning. It adopts new if-then rules for learning algorithm. Moreover, it introduces novel hardware accelerator in order to reduce simulation time for calculation, since the genetics-based machine learning requires very long computational time. Experiments using quasi-ecosystem demonstrate not only the effectiveness of the proposed learning algorithm, but also that of the proposed hardware accelerator.