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PVM
2009
Springer
15 years 7 months ago
Optimizing MPI Runtime Parameter Settings by Using Machine Learning
Abstract. Manually tuning MPI runtime parameters is a practice commonly employed to optimise MPI application performance on a specific architecture. However, the best setting for ...
Simone Pellegrini, Jie Wang, Thomas Fahringer, Han...
WICON
2008
15 years 2 months ago
On the practical complexity of solving the maximum weighted independent set problem for optimal scheduling in wireless networks
It is well known that the maximum weighted independent set (MWIS) problem is NP-complete. Moreover, optimal scheduling in wireless networks requires solving a MWIS problem. Conseq...
Peng Wang, Stephan Bohacek
134
Voted
PRL
2007
180views more  PRL 2007»
15 years 5 days ago
Feature selection based on rough sets and particle swarm optimization
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...
Xiangyang Wang, Jie Yang, Xiaolong Teng, Weijun Xi...
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 1 months ago
Accelerating convergence using rough sets theory for multi-objective optimization problems
We propose the use of rough sets theory to improve the first approximation provided by a multi-objective evolutionary algorithm and retain the nondominated solutions using a new ...
Luis V. Santana-Quintero, Carlos A. Coello Coello
SCHEDULING
2010
116views more  SCHEDULING 2010»
14 years 11 months ago
Characterizing sets of jobs that admit optimal greedy-like algorithms
The “ Priority Algorithm” is a model of computation introduced by Borodin, Nielsen and Rackoff [BNR03] which formulates a wide class of greedy algorithms. For an arbitrary se...
Periklis A. Papakonstantinou, Charles Rackoff