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» Using Gaussian Processes to Optimize Expensive Functions
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IGIS
1994
156views GIS» more  IGIS 1994»
14 years 2 months ago
Optimizing Spatial Data Structures For Static Data
During the last decade various spatial data structures have been designed and compared against each other, all of them re ecting a dynamic situation with ongoing object insertion a...
Lukas Bachmann, Bernd-Uwe Pagel, Hans-Werner Six
SAC
2009
ACM
14 years 5 months ago
A gradient oriented recombination scheme for evolution strategies
This paper proposes a novel recombination scheme for evolutionary algorithms, which can guide the new population generation towards the maximum increase of the objective function....
Haifeng Chen, Guofei Jiang
CDC
2009
IEEE
137views Control Systems» more  CDC 2009»
14 years 3 months ago
Important moments in systems, control and optimization
— The moment problem matured from its various special forms in the late 19th and early 20th Centuries to a general class of problems that continues to exert profound influence o...
Christopher I. Byrnes, Anders Lindquist
GECCO
2006
Springer
177views Optimization» more  GECCO 2006»
14 years 2 months ago
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
IJCNN
2006
IEEE
14 years 4 months ago
Online Training of a Generalized Neuron with Particle Swarm Optimization
— Neural networks are used in a wide number of fields including signal and image processing, modeling and control and pattern recognition. Some of the most common type of neural ...
Raveesh Kiran, Sandhya R. Jetti, Ganesh K. Venayag...