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Gaining Insight into Quality Diversity

Publications associées (36)

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Evacuation simulation with limited capacity sinks

Gunnar Flötteröd

We heuristically solve an evacuation problem with limited capacity shelters. An evolutionary learning algorithm is developed for the combined route- and shelter-assignment problem. It is complemented with a heuristic method for the fair minimization of she ...

2010

Optimisation of solar energy utilisation potential in the urban context

Jérôme Henri Kämpf, Darren Robinson

Around three quarters of global resource consumption takes place in urban settlements, with corresponding adverse environmental consequences. According to population forecasts this situation will be exacerbated during the coming years. It is therefore impe ...

2010

Evolutionary and Computational Advantages of Neuromodulated Plasticity

Andrea Soltoggio

The integration of modulatory neurons into evolutionary artificial neural networks is proposed here. A model of modulatory neurons was devised to describe a plasticity mechanism at the low level of synapses and neurons. No initial assumptions were made on ...

University of Birmingham, UK2008

An Exploration of Online Parallel Learning in Heterogeneous Multi-Robot Swarms

Alcherio Martinoli, James Pugh

Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques which allow robots to evolve their own controllers online in an automated fashion. In mult ...

Springer2008

Parallel Learning in Heterogeneous Multi-Robot Swarms

Alcherio Martinoli, James Pugh

2007

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

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

Coding and Learning of behavioral sequences

Wulfram Gerstner, Henry Markram

A major challenge to understanding behavior is how the nervous system allows the learning of behavioral sequences that can occur over arbitrary timescales, ranging from milliseconds up to seconds, using a fixed millisecond learning rule. This article descr ...

2004

Measures of Diversity for Populations and Distances Between Individuals with Highly Reorganizable Genomes

Dario Floreano, Claudio Mattiussi, Markus Waibel

In this paper we address the problem of defining a measure of diversity for a population of individuals whose genome can be subjected to major reorganizations during the evolutionary process. To this end, we introduce a measure of diversity for populations ...

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