2191 search results - page 224 / 439 » Evolutionary testing of classes |
127
Voted
GECCO
2007
Springer
15 years 10 months ago
2007
Springer
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
139
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
Existing metrics for dynamic optimisation are designed primarily to rate an algorithm’s overall performance. These metrics show whether one algorithm is better than another, but...
151
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GECCO
2007
Springer
15 years 10 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...
128
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
In this paper, we propose the combination of different optimization techniques in order to solve “hard” two- and threeobjective optimization problems at a relatively low comp...
120
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. Fuzzy-UCS combines the generalization capabilities of UCS...