Swing up and balance control of the acrobot solved by genetic programming
DC Dracopoulos, BD Nichols - International Conference on Innovative …, 2012 - Springer
The evolution of controllers using genetic programming is described for the continuous,
limited torque minimum time swing-up and inverted balance problems of the acrobot. The …
limited torque minimum time swing-up and inverted balance problems of the acrobot. The …
Performance of evolutionary wavelet neural networks in acrobot control tasks
Wavelet neural networks (WNN) combine the strength of artificial neural networks and the
multiresolution ability of wavelets. Determining the structure and, more specifically, the …
multiresolution ability of wavelets. Determining the structure and, more specifically, the …
Genetic programming for the minimum time swing up and balance control acrobot problem
DC Dracopoulos, BD Nichols - Expert Systems, 2017 - Wiley Online Library
This work describes how genetic programming is applied to evolving controllers for the
minimum time swing up and inverted balance tasks of the continuous state and action …
minimum time swing up and inverted balance tasks of the continuous state and action …
[PDF][PDF] Evolutionary Wavelet Neural Networks in Data Classification and Dynamic Control
MM KHAN - 2018 - nova.newcastle.edu.au
To further improve the classification performance of EWNNs, an ensemble EWNN (EWNN-e)
was proposed. In this method, a genetic algorithm was used to prune trained EWNN …
was proposed. In this method, a genetic algorithm was used to prune trained EWNN …
Automated mechanism design with co-evolutionary hierarchical genetic programming techniques
JA Doucette, D Abramson - Proceedings of the 14th annual conference …, 2012 - dl.acm.org
We present a novel form of automated game theoretic mechanism design in which
mechanisms and players co-evolve. We also model the memetic propagation of strategies …
mechanisms and players co-evolve. We also model the memetic propagation of strategies …