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EMO
2003
Springer
81views Optimization» more  EMO 2003»
14 years 28 days ago
Solving Hierarchical Optimization Problems Using MOEAs
Abstract. In this paper, we propose an approach for solving hierarchical multi-objective optimization problems (MOPs). In realistic MOPs, two main challenges have to be considered:...
Christian Haubelt, Sanaz Mostaghim, Jürgen Te...
GECCO
2006
Springer
184views Optimization» more  GECCO 2006»
13 years 11 months ago
Genetic algorithms and mixed integer linear programs for optimal strategies in a student's "sports" activity
This paper uses an entertaining student "sports" game to illustrate that GAs can be adapted to problems with uncertain properties and complexity. These problems can be s...
Thomas Butter, Franz Rothlauf, Jörn Grahl, To...
CP
2006
Springer
13 years 11 months ago
Global Optimization of Probabilistically Constrained Linear Programs
We consider probabilistic constrained linear programs with general distributions for the uncertain parameters. These problems generally involve non-convex feasible sets. We develo...
Shabbir Ahmed
ICCV
2001
IEEE
14 years 9 months ago
Capturing Natural Hand Articulation
Vision-based m,otion captu.ring of hand articulation i s - a ch,allengin,g task, since th,e hand presents a m,otion of high, degrees of freedom.. Model-based approach,es could he ...
Ying Wu, John Y. Lin, Thomas S. Huang
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
14 years 8 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...