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CEC
2007
IEEE
14 years 3 months ago
SAT-decoding in evolutionary algorithms for discrete constrained optimization problems
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...
Martin Lukasiewycz, Michael Glaß, Christian ...
CPAIOR
2008
Springer
13 years 10 months ago
Amsaa: A Multistep Anticipatory Algorithm for Online Stochastic Combinatorial Optimization
The one-step anticipatory algorithm (1s-AA) is an online algorithm making decisions under uncertainty by ignoring future non-anticipativity constraints. It makes near-optimal decis...
Luc Mercier, Pascal Van Hentenryck
INFOCOM
2010
IEEE
13 years 7 months ago
Pricing under Constraints in Access Networks: Revenue Maximization and Congestion Management
Abstract—This paper investigates pricing of Internet connectivity services in the context of a monopoly ISP selling broadband access to consumers. We first study the optimal com...
Prashanth Hande, Mung Chiang, A. Robert Calderbank...
ASIAMS
2007
IEEE
14 years 3 months ago
Simulation of Soft Bodies with Pressure Force and the Implicit Method
The implicit approach can be used to efficiently model realistically deformable objects for large constraints such as stiffness or time. In soft bodies with pressure forces, model...
Jaruwan Mesit, Ratan K. Guha
CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
14 years 25 days ago
Input design using Markov chains for system identification
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...
Chiara Brighenti, Bo Wahlberg, Cristian R. Rojas