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» Solving Hierarchical Optimization Problems Using MOEAs
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75
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GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
15 years 4 months ago
A new generation alternation model for differential evolution
We present a modified version of Differential Evolution (DE) for locating the global minimum at a higher convergence velocity. The proposed model differs from conventional DE by a...
Nasimul Noman, Hitoshi Iba
87
Voted
GLOBECOM
2009
IEEE
14 years 10 months ago
Downlink Distributed Beamforming through Relay Networks
Beamforming and relaying are two methods of improving wireless system performance. Until now, these techniques have been considered separately. In this paper, a single source (base...
Yi Zheng, Steven D. Blostein
246
Voted

Book
5396views
16 years 11 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
97
Voted
ESANN
2007
15 years 1 months ago
A novel kernel-based method for local pattern extraction in random process signals
In many applications, one is interested to detect certain patterns in random process signals. We consider a class of random process signals which contain sub similarities at rando...
Majid Beigi, Andreas Zell
111
Voted
ATAL
2005
Springer
15 years 6 months ago
Preprocessing techniques for accelerating the DCOP algorithm ADOPT
Methods for solving Distributed Constraint Optimization Problems (DCOP) have emerged as key techniques for distributed reasoning. Yet, their application faces significant hurdles...
Syed Muhammad Ali, Sven Koenig, Milind Tambe