Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic Reinforcement Learning for Neurocontrol Problems
Machine Learning - Special issue on genetic algorithms
Automatic definition of modular neural networks
Adaptive Behavior
Cellular Encoding Applied to Neurocontrol
Proceedings of the 6th International Conference on Genetic Algorithms
Adding learning to the cellular development of neural networks: Evolution and the baldwin effect
Evolutionary Computation
An Algebraic Model for Generating and Adapting Neural Networks by Means of Optimization Methods
Annals of Mathematics and Artificial Intelligence
Evolving the Topology and the Weights of Neural Networks Using a Dual Representation
Applied Intelligence
Evolving neural networks through augmenting topologies
Evolutionary Computation
Evolving Neural Network Structures by Means of Genetic Programming
Proceedings of the Second European Workshop on Genetic Programming
A Taxonomy for artificial embryogeny
Artificial Life
Evolving Soccer Keepaway Players Through Task Decomposition
Machine Learning
Automatic feature selection in neuroevolution
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Neuroevolution of an automobile crash warning system
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Proceedings of the 8th annual conference on Genetic and evolutionary computation
On-line evolutionary computation for reinforcement learning in stochastic domains
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Evolving a real-world vehicle warning system
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Evolutionary Function Approximation for Reinforcement Learning
The Journal of Machine Learning Research
Compositional pattern producing networks: A novel abstraction of development
Genetic Programming and Evolvable Machines
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Self-modifying cartesian genetic programming
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Generative encoding for multiagent learning
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
Evolving neural networks for fractured domains
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
The Journal of Machine Learning Research
Tree-Based Indirect Encodings for Evolutionary Development of Neural Networks
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Supervised and Evolutionary Learning of Echo State Networks
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
How a Generative Encoding Fares as Problem-Regularity Decreases
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Using Gaussian Processes to Optimize Expensive Functions
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Neuroevolutionary reinforcement learning for generalized helicopter control
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
On the significance of the permutation problem in neuroevolution
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Developmental plasticity in linear genetic programming
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Free lunches for neural network search
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Real-time evolution of neural networks in the NERO video game
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Competitive coevolution through evolutionary complexification
Journal of Artificial Intelligence Research
Learning and multiagent reasoning for autonomous agents
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Neuroevolution strategies for episodic reinforcement learning
Journal of Algorithms
Interactive evolution of particle systems for computer graphics and animation
IEEE Transactions on Evolutionary Computation
Bankruptcy prediction with neural logic networks by means of grammar-guided genetic programming
Expert Systems with Applications: An International Journal
A comparison of classification accuracy of four genetic programming-evolved intelligent structures
Information Sciences: an International Journal
Evolving content in the galactic arms race video game
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Evolving Co-Adapted Subcomponents in Assembler Encoding
International Journal of Applied Mathematics and Computer Science
A developmental method for growing graphs and circuits
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
Cell tracking: genesis and epigenesis in an artificial organism
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
MBEANN: mutation-based evolving artificial neural networks
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
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
Autonomous Agents and Multi-Agent Systems
Developments in Cartesian Genetic Programming: self-modifying CGP
Genetic Programming and Evolvable Machines
Evolving policy geometry for scalable multiagent learning
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Genetic representation and evolvability of modular neural controllers
IEEE Computational Intelligence Magazine
Evolving Static Representations for Task Transfer
The Journal of Machine Learning Research
Evolving plastic neural networks with novelty search
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Proceedings of the 8th International Conference on Frontiers of Information Technology
Evolvability and speed of evolutionary algorithms in light of recent developments in biology
Journal of Artificial Evolution and Applications
Social learning for collaboration through ASiCo based neuroevolution
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Evolutionary neural networks for practical applications
Epigenetic tracking: biological implications
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part I
Picbreeder: A case study in collaborative evolutionary exploration of design space
Evolutionary Computation
Neuroevolution with analog genetic encoding
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Adaptive reservoir computing through evolution and learning
Neurocomputing
Single-unit pattern generators for quadruped locomotion
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Artificial Intelligence in Medicine
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This paper compares the efficiency of two encoding schemes for Artificial Neural Networks optimized by evolutionary algorithms. Direct Encoding encodes the weights for an a priori fixed neural network architecture. Cellular Encoding encodes both weights and the architecture of the neural network. In previous studies, Direct Encoding and Cellular Encoding have been used to create neural networks for balancing 1 and 2 poles attached to a cart on a fixed track. The poles are balanced by a controller that pushes the cart to the left or the right. In some cases velocity information about the pole and cart is provided as an input; in other cases the network must learn to balance a single pole without velocity information. A careful study of the behavior of these systems suggests that it is possible to balance a single pole with velocity information as an input and without learning to compute the velocity. A new fitness function is introduced that forces the neural network to compute the velocity. By using this new fitness function and tuning the syntactic constraints used with cellular encoding, we achieve a tenfold speedup over our previous study and solve a more difficult problem: balancing two poles when no information about the velocity is provided as input.