Outputs (261)

Haploid-diploid evolutionary algorithms: The Baldwin effect and recombination nature’s way (2017)
Presentation / Conference Contribution

This paper uses the recent idea that the fundamental haploid-diploid lifecycle of eukaryotic organisms implements a rudimentary form of learning within evolution. A general approach for evolutionary computation is here derived that differs from all p... Read More about Haploid-diploid evolutionary algorithms: The Baldwin effect and recombination nature’s way.

Design mining interacting wind turbines (2016)
Journal Article

© 2016 by the Massachusetts Institute of Technology. An initial study has recently been presented of surrogate-assisted evolutionary algorithms used to design vertical-axis wind turbines wherein candidate prototypes are evaluated under fan-generated... Read More about Design mining interacting wind turbines.

On cellular darwinism: Mitochondria (2016)
Journal Article

© 2016 Massachusetts Institute of Technology. The significant role of mitochondria within cells is becoming increasingly clear. This letter uses the NKCS model of coupled fitness landscapes to explore aspects of organelle-nucleus coevolution. The phe... Read More about On cellular darwinism: Mitochondria.

Evolving unipolar memristor spiking neural networks (2015)
Journal Article

© 2015 Taylor & Francis. Neuromorphic computing – brain-like computing in hardware – typically requires myriad complimentary metal oxide semiconductor spiking neurons interconnected by a dense mesh of nanoscale plastic synapses. Memristors are freq... Read More about Evolving unipolar memristor spiking neural networks.

A brief history of learning classifier systems: from CS-1 to XCS and its variants (2015)
Journal Article

© 2015, Springer-Verlag Berlin Heidelberg. The direction set by Wilson’s XCS is that modern Learning Classifier Systems can be characterized by their use of rule accuracy as the utility metric for the search algorithm(s) discovering useful rules. Suc... Read More about A brief history of learning classifier systems: from CS-1 to XCS and its variants.

On the evolution of Boolean networks for computation: A guide RNA mechanism (2015)
Journal Article

© 2015 Taylor & Francis. There is a growing body of work within computational intelligence which explores the use of representations inspired by the genetic regulatory networks of biological cells. This paper uses a recently presented abstract, tun... Read More about On the evolution of Boolean networks for computation: A guide RNA mechanism.

A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers (2015)
Journal Article

© 2015, Springer Science+Business Media New York. Learning classifier systems (LCS) are population-based reinforcement learners that were originally designed to model various cognitive phenomena. This paper presents an explicitly cognitive LCS by usi... Read More about A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers.

Towards the evolution of vertical-axis wind turbines using supershapes (2014)
Journal Article

© 2014, Springer-Verlag Berlin Heidelberg. We have recently presented an initial study of evolutionary algorithms used to design vertical-axis wind turbines (VAWTs) wherein candidate prototypes are evaluated under fan generated wind conditions after... Read More about Towards the evolution of vertical-axis wind turbines using supershapes.

Toward the Coevolution of Novel Vertical-Axis Wind Turbines (2014)
Journal Article

© 1997-2012 IEEE. The production of renewable and sustainable energy is one of the most important challenges currently facing mankind. Wind has made an increasing contribution to the world's energy supply mix, but remains a long way from reaching its... Read More about Toward the Coevolution of Novel Vertical-Axis Wind Turbines.

Evolving spiking networks with variable resistive memories (2014)
Journal Article

Neuromorphic computing is a brainlike information processing paradigm that requires adaptive learning mechanisms. A spiking neuro-evolutionary system is used for this purpose; plastic resistive memories are implemented as synapses in spiking neural n... Read More about Evolving spiking networks with variable resistive memories.