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FOCS
2005
IEEE
14 years 1 months ago
How to Pay, Come What May: Approximation Algorithms for Demand-Robust Covering Problems
Robust optimization has traditionally focused on uncertainty in data and costs in optimization problems to formulate models whose solutions will be optimal in the worstcase among ...
Kedar Dhamdhere, Vineet Goyal, R. Ravi, Mohit Sing...
CDC
2010
IEEE
151views Control Systems» more  CDC 2010»
13 years 3 months ago
On the optimal solutions of the infinite-horizon linear sensor scheduling problem
This paper studies the infinite-horizon sensor scheduling problem for linear Gaussian processes with linear measurement functions. Several important properties of the optimal infin...
Wei Zhang, Michael P. Vitus, Jianghai Hu, Alessand...
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
13 years 11 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
SIAMCO
2010
153views more  SIAMCO 2010»
13 years 2 months ago
Optimal Control for an Elliptic System with Polygonal State Constraints
This work is devoted to stationary optimal control problems with polygonal constraints on the components of the state. Existence of Lagrange multipliers, of different regularity, i...
Karl Kunisch, Kewei Liang, Xiliang Lu
NETWORKS
2007
13 years 7 months ago
Metaheuristics for the vehicle routing problem with loading constraints
We consider a combination of the capacitated vehicle routing problem and a class of additional loading constraints involving a parallel machine scheduling problem. The work is mot...
Karl F. Doerner, Guenther Fuellerer, Richard F. Ha...