271 search results - page 35 / 55 » Multiobjective optimization algorithm for solving constraine... |
129
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ATAL
2005
Springer
15 years 7 months ago
2005
Springer
Negotiation techniques have been demonstrated to be effective in solving complex multi-objective problems. When the optimization process operates on continuous variables, it can b...
100
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AAAI
2006
15 years 3 months ago
2006
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
116
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GECCO
2009
Springer
15 years 6 months ago
2009
Springer
The performance of a Multiobjective Evolutionary Algorithm (MOEA) is crucially dependent on the parameter setting of the operators. The most desired control of such parameters pre...
162
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TNN
2010
14 years 8 months ago
2010
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
124
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DATE
2007
IEEE
15 years 8 months ago
2007
IEEE
One of the main tasks in analog design is the sizing of the circuit parameters, such as transistor lengths and widths, in order to obtain optimal circuit performances, such as hig...