Automatic definition of modular neural networks
Adaptive Behavior
On the dynamics of small continuous-time recurrent neural networks
Adaptive Behavior - Special issue on computational neuroethology
Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
“Genotypes” for neural networks
The handbook of brain theory and neural networks
Evolving the Topology and the Weights of Neural Networks Using a Dual Representation
Applied Intelligence
Evolving neural networks through augmenting topologies
Evolutionary Computation
Creation of Neural Networks Based on Developmental and Evolutionary Principles
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
Efficient evolution of neural networks through complexification
Efficient evolution of neural networks through complexification
Evolving modular genetic regulatory networks
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
A comparison between cellular encoding and direct encoding for genetic neural networks
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Solving non-Markovian control tasks with neuroevolution
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Unsupervised learning of echo state networks: balancing the double pole
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Accelerating neuroevolutionary methods using a Kalman filter
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Supervised and Evolutionary Learning of Echo State Networks
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
KI '08 Proceedings of the 31st annual German conference on Advances in Artificial Intelligence
Evolutionary selection of features for neural sleep/wake discrimination
Journal of Artificial Evolution and Applications - Special issue on artificial evolution methods in the biological and biomedical sciences
HyperNEAT controlled robots learn how to drive on roads in simulated environment
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Open-ended on-board evolutionary robotics for robot swarms
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Combining Multiple Inputs in HyperNEAT Mobile Agent Controller
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Bio-mimetic evolutionary reverse engineering of genetic regulatory networks
EvoBIO'07 Proceedings of the 5th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
Unsupervised learning of echo state networks: a case study in artificial embryogeny
EA'07 Proceedings of the Evolution artificielle, 8th international conference on Artificial evolution
Neuroevolution based on reusable and hierarchical modular representation
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
NEAT in HyperNEAT substituted with genetic programming
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
Genetic representation and evolvability of modular neural controllers
IEEE Computational Intelligence Magazine
Fractal gene regulatory networks for control of nonlinear systems
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
Scalable neuroevolution for reinforcement learning
TPNC'12 Proceedings of the First international conference on Theory and Practice of Natural Computing
Compressed network complexity search
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Generalized compressed network search
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
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The evolution of artificial neural networks (ANNs) is often used to tackle difficult control problems. There are different approaches to the encoding of neural networks in artificial genomes. Analog Genetic Encoding (AGE) is a new implicit method derived from the observation of biological genetic regulatory networks. This paper shows how AGE can be used to simultaneously evolve the topology and the weights of ANNs for complex control systems. AGE is applied to a standard benchmark problem and we show that its performance is equivalent or superior to some of the most powerful algorithms for neuroevolution in the literature.