The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
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 ...
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 ...
Achieving peak performance from library subroutines usually requires extensive, machine-dependent tuning by hand. Automatic tuning systems have emerged in response, and they typic...
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...