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GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
13 years 4 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay
NN
2000
Springer
137views Neural Networks» more  NN 2000»
13 years 4 months ago
Evolutionary robots with on-line self-organization and behavioral fitness
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 enco...
Dario Floreano, Joseba Urzelai
CEC
2008
IEEE
13 years 10 months ago
Fitness functions for the unconstrained evolution of digital circuits
— This work is part of a project that aims to develop and operate integrated evolvable hardware systems using unconstrained evolution. Experiments are carried out on an evolvable...
Tüze Kuyucu, Martin Trefzer, Andrew J. Greens...
CEC
2008
IEEE
13 years 10 months ago
Differential evolution particle swarm optimization for digital filter design
— In this paper, swarm and evolutionary algorithms have been applied for the design of digital filters. Particle swarm optimization (PSO) and differential evolution particle swar...
Bipul Luitel, Ganesh K. Venayagamoorthy
CEC
2009
IEEE
13 years 2 months ago
Open-ended on-board Evolutionary Robotics for robot swarms
The SYMBRION project stands at the crossroads of Artificial Life and Evolutionary Robotics: a swarm of real robots undergoes online evolution by exchanging information in a decentr...
G. Baele, Nicolas Bredeche, Evert Haasdijk, Steven...