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ICPPW
2002
IEEE
15 years 4 months ago
Experiments with Parallelizing a Tribology Application
Different parallelization methods vary in their system requirements, programming styles, efficiency of exploring parallelism, and the application characteristics they can handle....
Vipin Chaudhary, W. L. Hase, Hai Jiang, L. Sun, Da...
86
Voted
EOR
2008
133views more  EOR 2008»
14 years 11 months ago
Investigating a hybrid simulated annealing and local search algorithm for constrained optimization
Constrained Optimization Problems (COP) often take place in many practical applications such as kinematics, chemical process optimization, power systems and so on. These problems ...
Chandra Sekhar Pedamallu, Linet Özdamar
SIGMOD
2009
ACM
161views Database» more  SIGMOD 2009»
15 years 6 months ago
Dependency-aware reordering for parallelizing query optimization in multi-core CPUs
The state of the art commercial query optimizers employ cost-based optimization and exploit dynamic programming (DP) to find the optimal query execution plan (QEP) without evalua...
Wook-Shin Han, Jinsoo Lee
AUTOMATICA
2006
125views more  AUTOMATICA 2006»
14 years 11 months ago
Optimization over state feedback policies for robust control with constraints
This paper is concerned with the optimal control of linear discrete-time systems, which are subject to unknown but bounded state disturbances and mixed constraints on the state an...
Paul J. Goulart, Eric C. Kerrigan, Jan M. Maciejow...
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
15 years 5 months ago
Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
Ebrahim Bagheri, Hossein Deldari