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ICTAI
2006
IEEE
14 years 1 months ago
Intelligent Optimization via Learnable Evolution Model
A new method for optimizing complex functions and systems is described that employs Learnable Evolution Model (LEM), a form of non-Darwinian evolutionary computation guided by mac...
Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A....
ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 7 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
CORR
2008
Springer
82views Education» more  CORR 2008»
13 years 7 months ago
Kaltofen's division-free determinant algorithm differentiated for matrix adjoint computation
Kaltofen has proposed a new approach in (Kaltofen, 1992) for computing matrix determinants without divisions. The algorithm is based on a baby steps/giant steps construction of Kr...
Gilles Villard
CVPR
2004
IEEE
14 years 9 months ago
A Fast Multigrid Implicit Algorithm for the Evolution of Geodesic Active Contours
Active contour models are among the most popular PDE-based tools in computer vision. In this paper we present a new algorithm for the fast evolution of geodesic active contours an...
George Papandreou, Petros Maragos
ICCAD
2001
IEEE
106views Hardware» more  ICCAD 2001»
14 years 4 months ago
A Layout-Aware Synthesis Methodology for RF Circuits
In this paper a layout-aware RF synthesis methodology is presented. The methodology combines the power of a differential evolution algorithm with cost function response modeling a...
Peter J. Vancorenland, Geert Van der Plas, Michiel...