164 search results - page 21 / 33 » Stochastic MINLP optimization using simplicial approximation |
IPCO
2007
13 years 10 months ago
2007
Following the well-studied two-stage optimization framework for stochastic optimization [15, 18], we study approximation algorithms for robust two-stage optimization problems with ...
EVOW
2006
Springer
14 years 14 days ago
2006
Springer
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
GECCO
2008
Springer
13 years 10 months ago
2008
Springer
Genetic algorithms (GAs) used in complex optimization domains usually need to perform a large number of fitness function evaluations in order to get near-optimal solutions. In rea...
CDC
2009
IEEE
14 years 24 days ago
2009
IEEE
This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
SAB
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. In this paper we study distributed online learning of locomotion gaits for modular robots. The learning is based on a stochastic approximation method, SPSA, which optimiz...