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EUROGP
2004
Springer
170views Optimization» more  EUROGP 2004»
15 years 1 months ago
Comparing Hybrid Systems to Design and Optimize Artificial Neural Networks
Abstract. In this paper we conduct a comparative study between hybrid methods to optimize multilayer perceptrons: a model that optimizes the architecture and initial weights of mul...
Pedro A. Castillo Valdivieso, Maribel Garcí...
ICGA
1997
122views Optimization» more  ICGA 1997»
14 years 11 months ago
A Comparison of Global and Local Search Methods in Drug Docking
Molecular docking software makes computational predictions of the interaction of molecules. This can be useful, for example, in evaluating the binding of candidate drug molecules ...
Christopher D. Rosin, R. Scott Halliday, William E...
AAAI
2000
14 years 11 months ago
Localizing Search in Reinforcement Learning
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
Gregory Z. Grudic, Lyle H. Ungar
WSC
1998
14 years 11 months ago
Using ACCESSIBILITY to Assess the Performance of Generalized Hill Climbing Algorithms
The search problem, ACCESSIBILITY, asks whether a finite sequence of events can be found such that, starting with a specific initial event, a particular state can be reached. This...
Sheldon H. Jacobson, Enver Yücesan
GECCO
1999
Springer
111views Optimization» more  GECCO 1999»
15 years 2 months ago
Evolving a behavior-based control architecture- From simulations to the real world
Genetic programming makes it possible to automatically search the space of possible programs. First we evolved a behavior-based control architecture using computer simulations. Th...
Marc Ebner, Andreas Zell