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GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
14 years 2 months ago
Evolutionary benefits of evolvable component integration
A system composed of multiple interacting components is capable of responding to contextual information and producing a higher range of non-linear responses to stimuli compared to...
David Malkin, R. Beau Lotto
IPPS
1999
IEEE
14 years 24 days ago
Leonardo and Discipulus Simplex: An Autonomous, Evolvable Six-Legged Walking Robot
Evolutionary systems based on genetic algorithms GAs are common nowadays. One of the recent uses of such systems is in the burgeoning eld of evolvable hardware which involves, amo...
Gilles Ritter, Jean-Michel Puiatti, Eduardo Sanche...
IJCNN
2008
IEEE
14 years 2 months ago
Evolving a neural network using dyadic connections
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
Andreas Huemer, Mario A. Góngora, David A. ...
ICES
1998
Springer
108views Hardware» more  ICES 1998»
14 years 22 days ago
Evolvable Hardware for Space Applications
This paper focuses on characteristics and applications of evolvable hardware (EHW) to space systems. The motivation for looking at EHW originates in the need for more autonomous ad...
Adrian Stoica, Alex S. Fukunaga, Ken Hayworth, Car...
ATAL
2009
Springer
14 years 3 months ago
Adaptive learning in evolving task allocation networks
In this paper, we study multi-agent economic systems using a recent approach to economic modeling called Agent-based Computational Economics (ACE): the application of the Complex ...
Tomas Klos, Bart Nooteboom