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» Implicit Fitness Functions for Evolving a Drawing Robot
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EVOW
2008
Springer
13 years 6 months ago
Implicit Fitness Functions for Evolving a Drawing Robot
We describe an approach to artificially evolving a drawing robot using implicit fitness functions, which are designed to minimise any direct reference to the line patterns made by ...
Jon Bird, Phil Husbands, Martin Perris, Bill Bigge...
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
13 years 5 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
CONNECTION
2004
83views more  CONNECTION 2004»
13 years 4 months ago
Toward open-ended evolutionary robotics: evolving elementary robotic units able to self-assemble and self-reproduce
In this paper we discuss the limitations of current evolutionary robotics models and we propose a new framework that might solve some of these problems and lead to an open-ended e...
Raffaele Bianco, Stefano Nolfi
ROBOCUP
2004
Springer
114views Robotics» more  ROBOCUP 2004»
13 years 10 months ago
Evolutionary Gait-Optimization Using a Fitness Function Based on Proprioception
Abstract. This paper presents a new approach to optimize gait parameter sets using evolutionary algorithms. It separates the crossover-step of the evolutionary algorithm into an in...
Thomas Röfer
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