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GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
15 years 7 months ago
AMGA: an archive-based micro genetic algorithm for multi-objective optimization
Santosh Tiwari, Patrick Koch, Georges Fadel, Kalya...
VISAPP
2007
15 years 7 months ago
Image deconvolution using a stochastic differential equation approach
We consider the problem of image deconvolution. We foccus on a Bayesian approach which consists of maximizing an energy obtained by a Markov Random Field modeling. MRFs are classi...
Xavier Descombes, M. Lebellego, Elena Zhizhina
HYBRID
2004
Springer
15 years 12 months ago
Inference Methods for Autonomous Stochastic Linear Hybrid Systems
We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...
Hamsa Balakrishnan, Inseok Hwang, Jung Soon Jang, ...
AI
2003
Springer
15 years 11 months ago
Stochastic Local Search for Multiprocessor Scheduling for Minimum Total Tardiness
The multi-processor total tardiness problem (MPTTP) is an ÆÈ-hard scheduling problem, in which the goal is to minimise the tardiness of a set of jobs that are processed on a numb...
Michael Pavlin, Holger H. Hoos, Thomas Stützl...
AI
2000
Springer
15 years 6 months ago
Stochastic dynamic programming with factored representations
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Craig Boutilier, Richard Dearden, Moisés Go...