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EC
2012
289views ECommerce» more  EC 2012»
12 years 3 months ago
Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm
In a multimodal optimization task, the main purpose is to find multiple optimal solutions (global and local), so that the user can have a better knowledge about different optima...
Kalyanmoy Deb, Amit Saha
CEC
2005
IEEE
14 years 1 months ago
Efficient global optimization (EGO) for multi-objective problem and data mining
In this study, a surrogate model is applied to multi-objective aerodynamic optimization design. For the balanced exploration and exploitation with the surrogate model, objective fu...
Shinkyu Jeong, Shigeru Obayashi
NIPS
2003
13 years 9 months ago
Probabilistic Inference in Human Sensorimotor Processing
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...
Konrad P. Körding, Daniel M. Wolpert
MP
2002
176views more  MP 2002»
13 years 7 months ago
UOBYQA: unconstrained optimization by quadratic approximation
UOBYQA is a new algorithm for general unconstrained optimization calculations, that takes account of the curvature of the objective function, F say, by forming quadratic models by ...
M. J. D. Powell
LFCS
2007
Springer
14 years 1 months ago
Weighted O-Minimal Hybrid Systems Are More Decidable Than Weighted Timed Automata!
Abstract. We consider weighted o-minimal hybrid systems, which extend classical o-minimal hybrid systems with cost functions. These cost functions are “observer variables” whic...
Patricia Bouyer, Thomas Brihaye, Fabrice Chevalier