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GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
15 years 3 months ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick
DATE
2009
IEEE
92views Hardware» more  DATE 2009»
15 years 4 months ago
Using randomization to cope with circuit uncertainty
—Future computing systems will feature many cores that run fast, but might show more faults compared to existing CMOS technologies. New software methodologies must be adopted to ...
Hamid Safizadeh, Mohammad Tahghighi, Ehsan K. Arde...
AUTOMATICA
2006
140views more  AUTOMATICA 2006»
14 years 10 months ago
On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage
In this note we consider the following problem. Suppose a set of sensors is jointly trying to estimate a process. One sensor takes a measurement at every time step and the measure...
Vijay Gupta, Timothy H. Chung, Babak Hassibi, Rich...
PATAT
2004
Springer
129views Education» more  PATAT 2004»
15 years 3 months ago
A Novel Similarity Measure for Heuristic Selection in Examination Timetabling
Metaheuristic approaches to examination timetabling problems are usually split up into two phases: initialisation phase in which a heuristic is employed to construct an initial sol...
Yong Yang, Sanja Petrovic
CORR
2007
Springer
126views Education» more  CORR 2007»
14 years 10 months ago
Diversity-Multiplexing Tradeoff in Selective-Fading MIMO Channels
— We establish the optimal diversity-multiplexing (DM) tradeoff of coherent time, frequency and time-frequency selective-fading MIMO channels and provide a code design criterion ...
Pedro Coronel, Helmut Bölcskei