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» Evolutionary multiobjective optimization
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CVPR
2008
IEEE
15 years 8 months ago
Global data association for multi-object tracking using network flows
We propose a network flow based optimization method for data association needed for multiple object tracking. The maximum-a-posteriori (MAP) data association problem is mapped in...
Li Zhang, Yuan Li, Ramakant Nevatia
ICPR
2008
IEEE
15 years 8 months ago
A new multiobjective simulated annealing based clustering technique using stability and symmetry
Most clustering algorithms operate by optimizing (either implicitly or explicitly) a single measure of cluster solution quality. Such methods may perform well on some data sets bu...
Sriparna Saha, Sanghamitra Bandyopadhyay
EWC
2010
91views more  EWC 2010»
15 years 7 days ago
Multiobjective global surrogate modeling, dealing with the 5-percent problem
When dealing with computationally expensive simulation codes or process measurement data, surrogate modeling methods are firmly established as facilitators for design space explor...
Dirk Gorissen, Ivo Couckuyt, Eric Laermans, Tom Dh...
GECCO
2009
Springer
132views Optimization» more  GECCO 2009»
14 years 11 months ago
Cooperative micro-particle swarm optimization
Cooperative approaches have proved to be very useful in evolutionary computation due to their ability to solve efficiently high-dimensional complex problems through the cooperatio...
Konstantinos E. Parsopoulos
GECCO
2010
Springer
347views Optimization» more  GECCO 2010»
15 years 3 months ago
Comparison of cauchy EDA and BIPOP-CMA-ES algorithms on the BBOB noiseless testbed
Estimation-of-distribution algorithm using Cauchy sampling distribution is compared with the bi-population CMA evolutionary strategy which was one of the best contenders in the bl...
Petr Posík