Genetic Reinforcement Learning for Neurocontrol Problems
Machine Learning - Special issue on genetic algorithms
Generating Equations with Genetic Programming for Control of a Movable Inverted Pendulum
SEAL'98 Selected papers from the Second Asia-Pacific Conference on Simulated Evolution and Learning on Simulated Evolution and Learning
Genetic Programming and Evolvable Machines
ALPS: the age-layered population structure for reducing the problem of premature convergence
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
The Journal of Machine Learning Research
The challenge of irrationality: fractal protein recipes for PI
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Neuroevolution with analog genetic encoding
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Evolving fractal gene regulatory networks for graceful degradation of software
Self-star Properties in Complex Information Systems
Extracting key gene regulatory dynamics for the direct control of mechanical systems
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Annals of Mathematics and Artificial Intelligence
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Gene regulatory networks (GRNs) act as cell controllers; we argue that artificial models of GRNs should therefore make good controllers also. We present the first application of a model GRN to a substantial, well recognised control problem, using the Fractal Gene Regulatory Network model to control a range of versions of the single and jointed pole balancing problem.