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EVOW
2010
Springer
16 years 1 months ago
Investigating the Local-Meta-Model CMA-ES for Large Population Sizes
For many real-life engineering optimization problems, the cost of one objective function evaluation can take several minutes or hours. In this context, a popular approach to reduce...
Zyed Bouzarkouna, Anne Auger, Didier Yu Ding
SIAMJO
2002
99views more  SIAMJO 2002»
15 years 6 months ago
Active Sets, Nonsmoothness, and Sensitivity
Nonsmoothness pervades optimization, but the way it typically arises is highly structured. Nonsmooth behavior of an objective function is usually associated, locally, with an activ...
A. S. Lewis
GECCO
2000
Springer
108views Optimization» more  GECCO 2000»
15 years 10 months ago
Hierarchical Problem Solving and the Bayesian Optimization Algorithm
The paper discusses three major issues. First, it discusses why it makes sense to approach problems in a hierarchical fashion. It de nes the class of hierarchically decomposable f...
Martin Pelikan, David E. Goldberg
ICC
2007
IEEE
190views Communications» more  ICC 2007»
16 years 1 months ago
Minimum Energy Data Gathering in Correlated Sensor Networks with Cooperative Transmission
— We consider combination of Distributed Source Coding (DSC) and cooperative transmission techniques to improve energy efficiency in sensor networks. To start with we formulate ...
Laxminarayana S. Pillutla, Vikram Krishnamurthy
CEC
2010
IEEE
15 years 7 months ago
A Mean-Variance Optimization algorithm
A new stochastic optimization algorithm referred to by the authors as the `Mean-Variance Optimization' (MVO) algorithm is presented in this paper. MVO falls into the category ...
Istvan Erlich, Ganesh K. Venayagamoorthy, Nakawiro...