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PPSN
2004
Springer
15 years 3 months ago
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...
CEC
2010
IEEE
14 years 9 months ago
Designing airfoils using a reference point based evolutionary many-objective particle swarm optimization algorithm
— In this paper, we illustrate the use of a reference point based many-objective particle swarm optimization algorithm to optimize low-speed airfoil aerodynamic designs. Our fram...
Upali K. Wickramasinghe, Robert Carrese, Xiaodong ...
ASAP
2005
IEEE
108views Hardware» more  ASAP 2005»
15 years 3 months ago
Using Symbolic Feasibility Tests during Design Space Exploration of Heterogeneous Multi-Processor Systems
The task of automatic design space exploration of heterogeneous multi-processor systems is often tackled with Evolutionary Algorithms. In this paper, we propose a novel approach i...
Thomas Schlichter, Christian Haubelt, Frank Hannig...
AAAI
2000
14 years 11 months ago
Applying Learnable Evolution Model to Heat Exchanger Design
A new approach to evolutionary computation, called Learnable Evolution Model (LEM), has been applied to the problem of optimizing tube structures of heat exchangers. In contrast t...
Kenneth A. Kaufman, Ryszard S. Michalski
GECCO
2006
Springer
146views Optimization» more  GECCO 2006»
15 years 1 months ago
Evolutionary motion design for humanoid robots
We propose a new approach to generating the motion of humanoid robots intuitively by means of Interactive Evolutionary Computation (IEC). In our system, novice users are able to d...
Toshihiko Yanase, Hitoshi Iba