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Learning the kernel via convex optimization
Convex optimization kernel methods machine learning support vector machine
2015/8/10
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel itself from given train...
Multi-period portfolio optimization with constraints and transaction costs
Investment combinatorial optimization the horizon assets minimum deviation standard dynamic
2015/8/10
We consider the problem of multi-period portfolio optimization over a finite horizon, with a self-financing budget constraint and arbitrary distribution of asset returns, with objective to minimize th...
Cutting-set methods for robust convex optimization with pessimizing oracles
robust optimization cutting-set methods semi-infi nite programming minimax optimization games
2015/8/10
We consider a general worst-case robust convex optimization problem, with arbitrary dependence on the uncertain parameters, which are assumed to lie in some given set of possible values. We describe a...
A note on evolutionary stochastic portfolio optimization and probabilistic constraints
portfolio optimization probabilistic constraints
2010/4/27
In this note, we extend an evolutionary stochastic portfolio optimization framework to include probabilistic constraints. Both the stochastic programming-based modeling environment as well as the evol...