622 search results - page 16 / 125 » Stochastic programming approach to optimization under uncert... |
DAGSTUHL
2007
14 years 11 months ago
2007
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
EMO
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
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ASPDAC
2009
ACM
15 years 4 months ago
2009
ACM
— Recent advances in statistical timing analysis (SSTA) achieve great success in computing arrival times under variations by extending sum and maximum operations to random variab...
EUSFLAT
2009
14 years 7 months ago
2009
HICSS
2003
IEEE
15 years 2 months ago
2003
IEEE
We define and develop a solution approach for planning, scheduling and managing project efforts where there is significant uncertainty in the duration, resource requirements and o...