111 search results - page 9 / 23 » Towards high speed multiobjective evolutionary optimizers |
88
Voted
GECCO
2006
Springer
15 years 2 months ago
2006
Springer
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
96
Voted
CEC
2010
IEEE
15 years 1 days ago
2010
IEEE
An evolutionary approach for the optimization of microarray coatings produced via sol-gel chemistry is presented. The aim of the methodology is to face the challenging aspects of t...
GECCO
2007
Springer
15 years 5 months ago
2007
Springer
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
100
Voted
INTEGRATION
2010
14 years 9 months ago
2010
1 — This paper presents a new design automation tool based on a modified genetic algorithm kernel, in order to increase efficiency on the analog circuit and system design cycle. ...
GECCO
2004
Springer
15 years 4 months ago
2004
Springer
Before Multiobjective EvolutionaryAlgorithms (MOEAs) can be used as a widespread tool for solving arbitrary real world problems there are some salient issues which require further ...