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Genetic Representation of Adaptive Neural Controllers

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Neuroevolution: from architectures to learning

Dario Floreano, Claudio Mattiussi, Peter Dürr

Artificial neural networks are applied to many real-world problems, ranging from pattern classification to robot control. In order to design a neural network for a particular task, the choice of an architecture (including the choice of a neuron model), and ...

2008

Analog Genetic Encoding for the Evolution of Circuits and Networks

Dario Floreano, Claudio Mattiussi

This paper describes a new kind of genetic representation called analog genetic encoding (AGE). The representation is aimed at the evolutionary synthesis and reverse engineering of circuits and networks such as analog electronic circuits, neural networks, ...

2007

Bio-mimetic Evolutionary Reverse Engineering of Genetic Regulatory Networks

Dario Floreano, Claudio Mattiussi, Daniel Marbach

The effective reverse engineering of biochemical networks is one of the great challenges of systems biology. The contribution of this paper is two-fold: 1) We introduce a new method for reverse engineering genetic regulatory networks from gene expression d ...

Springer-Verlag Berlin2007

Evolving Neural Controllers for Collective Robotic Inspection

Alcherio Martinoli

In this paper, an automatic synthesis methodology based on evolutionary computation is applied to evolve neural controllers for a homogeneous team of miniature autonomous mobile robots. Both feed-forward and recurrent neural networks can be evolved with fi ...

2006

Neuroevolution with Analog Genetic Encoding

Dario Floreano, Claudio Mattiussi, Peter Dürr

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 f ...

2006

Evolutionary synthesis of analog networks

Claudio Mattiussi

The significant increase in the available computational power that took place in recent decades has been accompanied by a growing interest in the application of the evolutionary approach to the synthesis of many kinds of systems and, in particular, to the ...

EPFL2005

Multi-cellular reconfigurable circuits

Daniel Roggen

Bio-inspired electronic circuits have the potential to address some of the shortcomings of conventional electronic circuits, such as lack of applicability to ill-defined problems, of robustness, or of adaptivity to unexpectedly changing environments. Bio-i ...

EPFL2005

Evolution of Analog Networks using Local String Alignment on Highly Reorganizable Genomes

Dario Floreano, Claudio Mattiussi

We introduce and apply a genetic representation for analog electronic circuits based on the association of character strings extracted from the genome with the ter-minals and parameters of components, and the use of local string alignment to generate the c ...

2004

Evolving a cooperative transport behavior for two simple robots

Roderich Gross

This paper addresses the problem of cooperative transport of an object by a group of two simple autonomous mobile robots called s-bots. S-bots are able to establish physical connections between each other and with an object called the prey. The environment ...

Springer Verlag2004

Data reconciliation and sampling protocol design, case of a paper deinking process

François Maréchal, Georges Heyen, David Brown

An equation solver data reconciliation software has been used to build a validated model of a waste paper deinking mill, by combining control room measurements and process design specifications. An optimal sampling protocol to validate the model by using o ...

2004