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ASIAN
2004
Springer
109views Algorithms» more  ASIAN 2004»
15 years 9 months ago
Online Stochastic and Robust Optimization
This paper considers online stochastic optimization problems where uncertainties are characterized by a distribution that can be sampled and where time constraints severely limit t...
Russell Bent, Pascal Van Hentenryck
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 8 months ago
Dominance learning in diploid genetic algorithms for dynamic optimization problems
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic environments. In this scheme, the genotype to phenotype mapping in each gene locus i...
Shengxiang Yang
MP
2006
88views more  MP 2006»
15 years 4 months ago
Bounds on linear PDEs via semidefinite optimization
Using recent progress on moment problems, and their connections with semidefinite optimization, we present in this paper a new methodology based on semidefinite optimization, to ob...
Dimitris Bertsimas, Constantine Caramanis
CEC
2007
IEEE
15 years 10 months ago
Comparing bio-inspired algorithms in constrained optimization problems
Abstract— This paper presents a comparison of four bioinspired algorithms (all seen as search engines) with a similar constraint-handling mechanism (Deb’s feasibility rules) to...
Efrén Mezura-Montes, Blanca Cecilia Lopez-R...
COLT
2006
Springer
15 years 8 months ago
Online Learning Meets Optimization in the Dual
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer