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AAAI
1998
15 years 6 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
NC
1998
101views Neural Networks» more  NC 1998»
15 years 6 months ago
Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation Networks
In this paper a new approach for approximation problems involving only few input and output parameters is presented and compared to traditional Backpropagation Neural Networks (BP...
Günther R. Raidl, Gabriele Kodydek
WCE
2007
15 years 6 months ago
Genetic Algorithm Optimized PI and Fuzzy Sliding Mode Speed Control for DTC Drives
— This paper presents a detailed comparison between a conventional PI controller and a variable structure controller based on a fuzzy sliding mode strategy used for speed control...
Shady M. Gadoue, Damian Giaouris, J. W. Finch
CORR
2008
Springer
72views Education» more  CORR 2008»
15 years 5 months ago
Design Optimization for an Electro-Thermally Actuated Polymeric Microgripper
Thermal micro-actuators are a promising solution to the need for large-displacement, gentle handling force, low-power MEMS actuators. Potential applications of these devices are mi...
R. Voicu, R. Muller, L. Eftime
CGF
2006
94views more  CGF 2006»
15 years 5 months ago
A Weighted Error Metric and Optimization Method for Antialiasing Patterns
Displaying a synthetic image on a computer display requires determining the colors of individual pixels. To avoid aliasing, multiple samples of the image can be taken per pixel, a...
Samuli Laine, Timo Aila