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» Optimization by Stochastic Continuation
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ISDA
2008
IEEE
14 years 2 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...
WSC
2004
13 years 9 months ago
A Near Optimal Approach to Quality of Service Data Replication Scheduling
This paper describes an approach to real-time decisionmaking for quality of service based scheduling of distributed asynchronous data replication. The proposed approach addresses ...
Kevin Adams, Denis Gracanin, Dusan Teodorovic
AEI
2005
99views more  AEI 2005»
13 years 7 months ago
Comparison among five evolutionary-based optimization algorithms
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...
Emad Elbeltagi, Tarek Hegazy, Donald E. Grierson
WCNC
2010
IEEE
13 years 11 months ago
Optimal Tradeoff Between Transmission Rate and Packet Duration in Wireless Ad Hoc Networks
—This paper considers the tradeoff between bursty and continuous transmissions in wireless ad hoc networks. In our network model, packets belonging to specific transmitters arri...
Jon E. Corneliussen, Mariam Kaynia, Geir E. &Oslas...
HYBRID
2005
Springer
14 years 1 months ago
Bisimulation for General Stochastic Hybrid Systems
In this paper we define a bisimulation concept for some very general models for stochastic hybrid systems (general stochastic hybrid systems). The definition of bisimulation buil...
Manuela L. Bujorianu, John Lygeros, Marius C. Bujo...