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» On Set-Based Multiobjective Optimization
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ARCS
2010
Springer
14 years 10 days ago
A Hierarchical Distributed Control for Power and Performances Optimization of Embedded Systems
Power and resource management are key goals for the success of modern battery-supplied multimedia devices. This kind of devices are usually based on SoCs with a wide range of subsy...
Patrick Bellasi, William Fornaciari, David Siorpae...
CVPR
2011
IEEE
13 years 6 months ago
Globally-Optimal Greedy Algorithms for Tracking a Variable Number of Objects
We analyze the computational problem of multi-object tracking in video sequences. We formulate the problem using a cost function that requires estimating the number of tracks, as ...
Hamed Pirsiavash, Deva Ramanan, Charless Fowlkes
CGO
2008
IEEE
14 years 3 months ago
Cole: compiler optimization level exploration
Modern compilers implement a large number of optimizations which all interact in complex ways, and which all have a different impact on code quality, compilation time, code size,...
Kenneth Hoste, Lieven Eeckhout
CEC
2007
IEEE
14 years 3 months ago
Improving generalization capability of neural networks based on simulated annealing
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...
Yeejin Lee, Jong-Seok Lee, Sun-Young Lee, Cheol Ho...
EMO
2005
Springer
194views Optimization» more  EMO 2005»
14 years 2 months ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks