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GECCO
2006
Springer
155views Optimization» more  GECCO 2006»
15 years 5 months ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde
CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
15 years 5 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
CDC
2010
IEEE
147views Control Systems» more  CDC 2010»
14 years 9 months ago
Dispatch then stop: Optimal dissemination of security patches in mobile wireless networks
The security threat posed by malware in mobile wireless networks can be countered through immunization using security patches. The distribution of patches however consumes bandwidt...
M. H. R. Khouzani, Saswati Sarkar, Eitan Altman
RECOMB
2003
Springer
16 years 2 months ago
Optimizing exact genetic linkage computations
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
Dan Geiger, Maáyan Fishelson
ISDA
2008
IEEE
15 years 8 months ago
Genetic Annealing Optimization: Design and Real World Applications
Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA mainta...
Mostafa A. El-Hosseini, Aboul Ella Hassanien, Ajit...