Gerard David Howard

Thomas Lowe

Wade Geles

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Multi-objective exploration of a granular matter design space.

[BibT_eX]

[DOI]

Gary W. Delaney

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

A staged approach to evolving real-world UAV controllers.

[BibT_eX]

[DOI]

Alberto Elfes

Evol. Intell., 2019

Evolving Memristive Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Handbook of Memristor Networks., 2019

2017

On Self-Adaptive Mutation Restarts for Evolutionary Robotics with Real Rotorcraft.

[BibT_eX]

[DOI]

CoRR, 2017

On self-adaptive rate restarts for evolutionary robotics with real rotorcraft.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers.

[BibT_eX]

[DOI]

Neural Process. Lett., 2016

2015

Evolving unipolar memristor spiking neural networks.

[BibT_eX]

[DOI]

Ben de Lacy Costello

Connect. Sci., 2015

2014

Evolving Spiking Networks with Variable Resistive Memories.

[BibT_eX]

[DOI]

Evol. Comput., 2014

Evolving Spiking Networks for Turbulence-Tolerant Quadrotor Control.

[BibT_eX]

[DOI]

Alberto Elfes

Proceedings of the Fourteenth International Conference on the Simulation and Synthesis of Living Systems, 2014

2013

A SPICE Model of the PEO-Pani memristor.

[BibT_eX]

[DOI]

Int. J. Bifurc. Chaos, 2013

2012

Evolution of Plastic Learning in Spiking Networks via Memristive Connections.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2012

Organic memristor Devices for Logic Elements with Memory.

[BibT_eX]

[DOI]

Victor Erokhin

Andrew Adamatzky

Int. J. Bifurc. Chaos, 2012

A Spiking Neural Learning Classifier System

[BibT_eX]

[DOI]

CoRR, 2012

Cartesian Genetic Programming for Memristive Logic Circuits.

[BibT_eX]

[DOI]

Andrew Adamatzky

Proceedings of the Genetic Programming - 15th European Conference, 2012

2011

Constructivist and spiking neural learning classifier systems.

[BibT_eX]

[DOI]

PhD thesis, 2011

Towards evolving spiking networks with memristive synapses.

[BibT_eX]

[DOI]

Ella Gale

Benjamin de Lacy Costello

Andy Adamatzky

Proceedings of the 2011 IEEE Symposium on Artificial Life, 2011

Evolving spiking networks with variable memristors.

[BibT_eX]

[DOI]

Ella Gale

Benjamin de Lacy Costello

Andrew Adamatzky

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

A spiking neural representation for XCSF.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Use of a Connection-Selection Scheme in Neural XCSF.

[BibT_eX]

[DOI]

Proceedings of the Learning Classifier Systems, 2009

Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSF.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008

Self-adaptive constructivism in Neural XCS and XCSF.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

On the effects of node duplication and connection-oriented constructivism in neural XCSF.

[BibT_eX]

[DOI]