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GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
15 years 4 months ago
Population-based incremental learning with memory scheme for changing environments
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
Shengxiang Yang
ARCS
2010
Springer
15 years 2 months 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
14 years 9 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
CEC
2009
IEEE
15 years 6 months ago
A clustering particle swarm optimizer for dynamic optimization
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...
Changhe Li, Shengxiang Yang
SC
2009
ACM
15 years 6 months ago
Supporting fault-tolerance for time-critical events in distributed environments
In this paper, we consider the problem of supporting fault tolerance for adaptive and time-critical applications in heterogeneous and unreliable grid computing environments. Our g...
Qian Zhu, Gagan Agrawal