174 search results - page 15 / 35 » Optimization of Scalarizing Functions Through Evolutionary M... |
CGO
2008
IEEE
15 years 4 months ago
2008
IEEE
Modern compilers implement a large number of optimizations which all interact in complex ways, and which all have a different impact on code quality, compilation time, code size,...
EMO
2001
Springer
15 years 2 months ago
2001
Springer
When we try to implement a multi-objective genetic algorithm (MOGA) with variable weights for finding a set of Pareto optimal solutions, one difficulty lies in determining appropri...
GECCO
2007
Springer
15 years 2 months ago
2007
Springer
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
71
Voted
SBRN
2000
IEEE
15 years 2 months ago
2000
IEEE
One of the main obstacles to the widespread use of artijcial neural networks is the difJiculty of adequately define valuesfor their free parameters. This article discusses how Rad...
151
Voted
IPPS
2007
IEEE
15 years 4 months ago
2007
IEEE
This paper deals with the use of parallel processing for multi-objective optimization in applications in which the objective functions, the restrictions, and hence also the soluti...