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GECCO
2010
Springer
167views Optimization» more  GECCO 2010»
15 years 8 months ago
Evolving CPPNs to grow three-dimensional physical structures
The majority of work in the field of evolutionary robotics concerns itself with evolving control strategies for human designed or bio-mimicked robot morphologies. However, there ...
Joshua E. Auerbach, Josh C. Bongard
ICOIN
2001
Springer
15 years 8 months ago
A 3D Modeling System for Creative Design
We propose a new approach to easily creating 3 0 geometric models. A technique called interactive evolutionary computation (IEC) is introduced to accelerate user’s invention and...
Hiroaki Nishino, Hideyuki Takagi, Sung-Bae Cho, Ko...
129
Voted
PPSN
1998
Springer
15 years 8 months ago
A Spatial Predator-Prey Approach to Multi-objective Optimization: A Preliminary Study
This paper presents a novel evolutionary approach of approximating the shape of the Pareto-optimal set of multi-objective optimization problems. The evolutionary algorithm (EA) use...
Marco Laumanns, Günter Rudolph, Hans-Paul Sch...
118
Voted
IJON
2006
76views more  IJON 2006»
15 years 3 months ago
Evolving networks of integrate-and-fire neurons
This paper addresses the following question: ``What neural circuits can emulate the monosynaptic correlogram generated by a direct connection between two neurons?'' The ...
Francisco J. Veredas, Francisco J. Vico, Jos&eacut...
117
Voted
NCA
2007
IEEE
15 years 3 months ago
Using evolution to improve neural network learning: pitfalls and solutions
: Autonomous neural network systems typically require fast learning and good generalization performance, and there is potentially a trade-off between the two. The use of evolutiona...
John A. Bullinaria