3142 search results - page 296 / 629 » Solving Hierarchical Optimization Problems Using MOEAs |
101
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CEC
2009
IEEE
15 years 10 months ago
2009
IEEE
Abstract— Tuning the parameters of an evolutionary algorithm (EA) to a given problem at hand is essential for good algorithm performance. Optimizing parameter values is, however,...
130
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INFOCOM
1998
IEEE
15 years 7 months ago
1998
IEEE
: This paper presents a demand-based engineering method for designing radio networks of cellularmobile communicationsystems. The proposed procedure is based on a forward-engineerin...
123
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JCNS
2010
14 years 10 months ago
2010
A number of important data analysis problems in neuroscience can be solved using state-space models. In this article, we describe fast methods for computing the exact maximum a pos...
113
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ICCAD
1997
IEEE
15 years 7 months ago
1997
IEEE
The circuit tuning problem is best approached by means of gradient-based nonlinear optimization algorithms. For large circuits, gradient computation can be the bottleneck in the o...
131
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GECCO
2006
Springer
15 years 6 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...