2096 search results - page 47 / 420 » Evolutionary multiobjective optimization |
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SBRN
2000
IEEE
15 years 5 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...
EMO
2006
Springer
15 years 5 months ago
2006
Springer
In this paper, we propose a new conceptual method for the design, investigation, and evaluation of multi-objective variation operators for evolutionary multi-objective algorithms. ...
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GECCO
2006
Springer
15 years 5 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...
142
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SEAL
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Paret...
GECCO
2004
Springer
15 years 6 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 ...