Concept

Neuroevolution

Publications associées (40)

Spiking neural network device

Device comprising storage means (51) for storing a genotypic representation (3) of a spiking neural network comprising spiking neurons (1) and input neurons (2) connected by synapses, and computer program portions for performing the steps of mutating said ...

2004

A Fast Multi-Objective Evolutionary Algorithm applied to Industrial Problems

Daniel Favrat, Adam Molyneaux, Geoffrey Basil Leyland

The CEPA, an Evolutionary Algorithm that preserves diversity by finding clusters in the population, has had its convergence performance improved by a technique tentatively called ‘evolutionary operator selection’. Performance is compared to results found i ...

2002

Levels of Dynamics and Adaptive Behavior in Evolutionary Neural Controllers

Dario Floreano, Jesper Blynel

Two classes of dynamical recurrent neural networks, Continuous Time Recurrent Neural Networks (CTRNNs) (Yamauchi and Beer, 1994) and Plastic Neural Networks (PNNs) (Floreano and Urzelai, 2000) are compared on two behavioral tasks aimed at exploring their c ...

2002

Multi-objective optimisation applied to industrial energy problems

Geoffrey Basil Leyland

This thesis presents the development of a new multi-objective optimisation tool and applies it to a number of industrial problems related to optimising energy systems. Multi-objective optimisation techniques provide the information needed for detailed anal ...

EPFL2002

Evolution of Adaptive Synapses: Robots with Fast Adaptive Behavior in New Environments

Dario Floreano, Joseba Urzelai

This paper is concerned with adaptation capabilities of evolved neural controllers. We propose to evolve mechanisms for parameter self-organization instead of evolving the parameters themselves. The method consists of encoding a set of local adaptation rul ...

2001

Neural Morphogenesis, Synaptic Plasticity, and Evolution

Dario Floreano, Joseba Urzelai

Morphology plays an important role in the computational properties of neural systems, affecting both their functionality and the way in which this functionality is developed during life. In computer-based models of neural networks, artificial evolution is ...

2001

Evolutionary Robots with on-line self-organization and behavioral fitness

Dario Floreano, Joseba Urzelai

We address two issues in Evolutionary Robotics, namely the genetic encoding and the performance criterion, also known as fitness function. For the first aspect, we suggest to encode mechanisms for parameter self-organization, instead of the parameters them ...

2000

Evolutionary Robots with Fast Adaptive Behavior in New Environments

Dario Floreano, Joseba Urzelai

This paper is concerned with adaptation capabilities of evolved neural controllers. A method consisting of encoding a set of local adaptation rules that synapses obey while the robot freely moves in the environment [6] is compared to a standard fixed-weigh ...

2000

Evolution of Plastic Neurocontrollers for Situated Agents

Dario Floreano, Francesco Mondada

In this paper we investigate a novel approach to the evolutionary development of autonomous situated agents based on the assumption that the neural mechanisms underlying ontogenetic learning are themselves developed and shaped by evolutionary process. A ge ...

MA: MIT Press1996

Incorporation of Liquid-Crystal Light Valve Non-Linearities in Optical Multilayer Neural Networks

Sigmoidlike activation functions, as available in analog hardware, differ in various ways from the standard sigmoidal function because they are usually asymmetric, truncated, and have a non-standard gain. We present an adaptation of the backpropagation lea ...

The Optical Society of America (OSA)1996

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