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FOCS
2005
IEEE
16 years 20 days ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
16 years 17 days ago
A multi-objective evolutionary approach to peptide structure redesign and stabilization
The prediction of the native structures of proteins, the socalled protein folding problem, is a NP hard multi-minima optimization problem for which to date no routine solutions ex...
Tim Hohm, Daniel Hoffmann
SEMWEB
2005
Springer
16 years 16 days ago
Bootstrapping Ontology Alignment Methods with APFEL
Abstract. Ontology alignment is a prerequisite in order to allow for interoperation between different ontologies and many alignment strategies have been proposed to facilitate the ...
Marc Ehrig, Steffen Staab, York Sure
DATE
2003
IEEE
152views Hardware» more  DATE 2003»
16 years 10 days ago
Synthesis of CMOS Analog Cells Using AMIGO
In this paper, a simulation-based synthesis tool, AMIGO, for analog cell sizing is presented. AMIGO is based upon genetic optimization techniques adapted to circuit sizing. A fram...
Ramy Iskander, Mohamed Dessouky, Maie Aly, Mahmoud...
ICALP
2003
Springer
16 years 8 days ago
Analysis of a Simple Evolutionary Algorithm for Minimization in Euclidean Spaces
Although evolutionary algorithms (EAs) are widely used in practical optimization, their theoretical analysis is still in its infancy. Up to now results on the (expected) runtime ar...
Jens Jägersküpper