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GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 3 months ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles
SIGMOD
2005
ACM
138views Database» more  SIGMOD 2005»
14 years 9 months ago
Automatic Physical Database Tuning: A Relaxation-based Approach
In recent years there has been considerable research on automated selection of physical design in database systems. In current solutions, candidate access paths are heuristically ...
Nicolas Bruno, Surajit Chaudhuri
GECCO
2007
Springer
171views Optimization» more  GECCO 2007»
14 years 3 months ago
Toward a better understanding of rule initialisation and deletion
A number of heuristics have been used in Learning Classifier Systems to initialise parameters of new rules, to adjust fitness of parent rules when they generate offspring, and ...
Tim Kovacs, Larry Bull
ICCS
2001
Springer
14 years 1 months ago
Statistical Models for Automatic Performance Tuning
Achieving peak performance from library subroutines usually requires extensive, machine-dependent tuning by hand. Automatic tuning systems have emerged in response, and they typic...
Rich Vuduc, James Demmel, Jeff Bilmes
DMDW
2000
93views Management» more  DMDW 2000»
13 years 10 months ago
Storing auxiliary data for efficient maintenance and lineage tracing of complex views
As views in a data warehouse become more complex, the view maintenance process can become very complicated and potentially very inefficient. Storing auxiliary views in the warehou...
Yingwei Cui, Jennifer Widom