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CVPR
2009
IEEE
15 years 5 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
PPSN
2010
Springer
13 years 7 months ago
Defining and Optimizing Indicator-Based Diversity Measures in Multiobjective Search
Abstract. In this paper, we elaborate how decision space diversity can be integrated into indicator-based multiobjective search. We introduce DIOP, the diversity integrating multio...
Tamara Ulrich, Johannes Bader, Lothar Thiele
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
13 years 11 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke
EVOW
2006
Springer
14 years 1 months ago
A Preliminary Study on Handling Uncertainty in Indicator-Based Multiobjective Optimization
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
Matthieu Basseur, Eckart Zitzler
CEC
2009
IEEE
14 years 4 months ago
Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization
—Multi-objective optimization is an essential and challenging topic in the domains of engineering and computation because real-world problems usually include several conflicting...
Chih-Ming Chen, Ying-Ping Chen, Qingfu Zhang