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» A Mean-Variance Optimization algorithm
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GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
15 years 8 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
RTSS
2006
IEEE
15 years 8 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
102
Voted
WSC
2007
15 years 4 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
103
Voted
FPL
2009
Springer
90views Hardware» more  FPL 2009»
15 years 7 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...
INFOCOM
2008
IEEE
15 years 8 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