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GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
16 years 1 months ago
Using a distance metric to guide PSO algorithms for many-objective optimization
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for manyobjective problems. We use a particle swarm optimization (PSO) a...
Upali K. Wickramasinghe, Xiaodong Li
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
16 years 19 days ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
TON
2008
87views more  TON 2008»
15 years 6 months ago
Large-scale network parameter configuration using an on-line simulation framework
As the Internet infrastructure grows to support a variety of services, its legacy protocols are being overloaded with new functions such as traffic engineering. Today, operators en...
Tao Ye, Hema Tahilramani Kaur, Shivkumar Kalyanara...
WWW
2007
ACM
16 years 7 months ago
Utility analysis for topically biased PageRank
PageRank is known to be an efficient metric for computing general document importance in the Web. While commonly used as a one-size-fits-all measure, the ability to produce topica...
Christian Kohlschütter, Paul-Alexandru Chirit...
CEC
2009
IEEE
16 years 1 months ago
Examination timetabling using late acceptance hyper-heuristics
— A hyperheuristic is a high level problem solving methodology that performs a search over the space generated by a set of low level heuristics. One of the hyperheuristic framewo...
Ender Özcan, Yuri Bykov, Murat Birben, Edmund...