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FSTTCS
2006
Springer
15 years 10 months ago
Approximation Algorithms for 2-Stage Stochastic Optimization Problems
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
Chaitanya Swamy, David B. Shmoys
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
15 years 7 months ago
iBOA: the incremental bayesian optimization algorithm
This paper proposes the incremental Bayesian optimization algorithm (iBOA), which modifies standard BOA by removing the population of solutions and using incremental updates of t...
Martin Pelikan, Kumara Sastry, David E. Goldberg
DATE
2002
IEEE
153views Hardware» more  DATE 2002»
15 years 11 months ago
Low Power Embedded Software Optimization Using Symbolic Algebra
The market demand for portable multimedia applications has exploded in the recent years. Unfortunately, for such applications current compilers and software optimization methods o...
Armita Peymandoust, Tajana Simunic, Giovanni De Mi...
WSC
2007
15 years 8 months ago
Parallel cross-entropy optimization
The Cross-Entropy (CE) method is a modern and effective optimization method well suited to parallel implementations. There is a vast array of problems today, some of which are hig...
Gareth E. Evans, Jonathan M. Keith, Dirk P. Kroese
MP
2006
123views more  MP 2006»
15 years 6 months ago
New interval methods for constrained global optimization
Abstract. Interval analysis is a powerful tool which allows to design branch-and-bound algorithms able to solve many global optimization problems. In this paper we present new adap...
Mihály Csaba Markót, J. Ferná...