2126 search results - page 262 / 426 » An optimization algorithm for imprecise multi-objective prob... |
180
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EMO
2009
Springer
16 years 28 days ago
2009
Springer
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is a variable-metric algorithm for real-valued vector optimization. It maintains a parent population...
209
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CC
2008
Springer
15 years 8 months ago
2008
Springer
The polyhedral model provides powerful abstractions to optimize loop nests with regular accesses. Affine transformations in this model capture a complex sequence of execution-reord...
195
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CIMCA
2008
IEEE
16 years 25 days ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
144
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
202
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GECCO
2010
Springer
15 years 11 months ago
2010
Springer
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...