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» Techniques and tools for dynamic optimization
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ICASSP
2010
IEEE
15 years 7 months ago
Sparse Bayesian step-filtering for high-throughput analysis of molecular machine dynamics
Nature has evolved many molecular machines such as kinesin, myosin, and the rotary flagellar motor powered by an ion current from the mitochondria. Direct observation of the step-...
Max A. Little, Nick S. Jones
EVOW
2008
Springer
15 years 8 months ago
A Memory Enhanced Evolutionary Algorithm for Dynamic Scheduling Problems
Abstract. This paper describes a memory enhanced evolutionary algorithm (EA) approach to the dynamic job shop scheduling problem. Memory enhanced EAs have been widely investigated ...
Gregory J. Barlow, Stephen F. Smith
163
Voted
HPCA
2009
IEEE
16 years 7 months ago
Criticality-based optimizations for efficient load processing
Some instructions have more impact on processor performance than others. Identification of these critical instructions can be used to modify and improve instruction processing. Pr...
Samantika Subramaniam, Anne Bracy, Hong Wang 0003,...
131
Voted
EDBT
2008
ACM
85views Database» more  EDBT 2008»
16 years 6 months ago
Optimizing on-demand data broadcast scheduling in pervasive environments
Data dissemination in pervasive environments is often accomplished by on-demand broadcasting. The time critical nature of the data requests plays an important role in scheduling t...
Rinku Dewri, Indrakshi Ray, Indrajit Ray, Darrell ...
CDC
2008
IEEE
16 years 1 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew