2126 search results - page 13 / 426 » An optimization algorithm for imprecise multi-objective prob... |
GECCO
2009
Springer
15 years 2 months ago
2009
Springer
Dealing with imprecise information is a common characteristic in real-world problems. Specifically, when the source of the information are physical sensors, a level of noise in t...
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IEEECIT
2010
IEEE
14 years 7 months ago
2010
IEEE
Abstract--We explore the idea of applying machine learning techniques to automatically infer risk-adaptive policies to reconfigure a network security architecture when the context ...
CCE
2008
14 years 10 months ago
2008
This paper addresses the problem of the optimal design of batch plants with imprecise demands and proposes an alternative treatment of the imprecision by using fuzzy concepts. For...
ISIPTA
2003
IEEE
15 years 3 months ago
2003
IEEE
For many problems there is only suf£cient prior information for a Bayesian decision maker to identify a class of possible prior distributions. In such cases it is of interest to ...
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
This paper proposes a new algorithm which promotes well distributed non-dominated fronts in the parameters space when a single-objective function is optimized. This algorithm is b...