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GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
15 years 7 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
114
Voted
RTSS
2006
IEEE
15 years 6 months ago
An Optimal Real-Time Scheduling Algorithm for Multiprocessors
We present an optimal real-time scheduling algorithm for multiprocessors — one that satisfies all task deadlines, when the total utilization demand does not exceed the utilizat...
Hyeonjoong Cho, Binoy Ravindran, E. Douglas Jensen
92
Voted
WSC
2007
15 years 3 months ago
Optimal scheduling of probabilistic repetitive projects using completed unit and genetic algorithms
In this paper we introduce the completed unit algorithm (CU-AL), a probabilistic scheduling methodology for repetitive projects. The algorithm has two main advantages, simplicity ...
Chachrist Srisuwanrat, Photios G. Ioannou
FPL
2009
Springer
90views Hardware» more  FPL 2009»
15 years 5 months ago
A toolset for the analysis and optimization of motion estimation algorithms and processors
This paper presents a reconfigurable processor designed to execute user-defined block-matching motion estimation algorithms, and a toolset for the design of such algorithms and ...
Trevor Spiteri, George Vafiadis, Jose Luis Nunez-Y...
122
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INFOCOM
2008
IEEE
15 years 7 months ago
A Distributed Optimization Algorithm for Multi-Hop Cognitive Radio Networks
Cognitive radio (CR) is a revolution in radio technology and is viewed as an enabling technology for dynamic spectrum access. This paper investigates how to design distributed alg...
Yi Shi, Y. Thomas Hou