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» On Set-Based Multiobjective Optimization
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EMO
2003
Springer
81views Optimization» more  EMO 2003»
15 years 11 months 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...
CCE
2007
15 years 6 months ago
Generate Pareto optimal solutions of scheduling problems using normal boundary intersection technique
The problem of short-term scheduling under uncertainty is addressed in this paper through a multiobjective optimization framework that incorporates economic expectation, robustnes...
Zhenya Jia, Marianthi G. Ierapetritou
MOR
2006
95views more  MOR 2006»
15 years 6 months ago
An Efficient Interior-Point Method for Convex Multicriteria Optimization Problems
In multicriteria optimization, several objective functions, conflicting with each other, have to be minimized simultaneously. We propose a new efficient method for approximating t...
Jörg Fliege
CVPR
2009
IEEE
17 years 1 months ago
Discriminatively Trained Particle Filters for Complex Multi-Object Tracking
This work presents a discriminative training method for particle filters in the context of multi-object tracking. We are motivated by the difficulty of hand-tuning the many mode...
Alan Fern, Robin Hess
184
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IJCNN
2006
IEEE
16 years 5 days ago
Generalization Improvement in Multi-Objective Learning
— Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
Lars Gräning, Yaochu Jin, Bernhard Sendhoff