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» Optimization Problems in Congestion Control
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132
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GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
15 years 4 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...
126
Voted
MOBIHOC
2002
ACM
16 years 3 months ago
Algorithmic aspects of topology control problems for ad hoc networks
Topology control problems are concerned with the assignment of power values to the nodes of an ad hoc network so that the power assignment leads to a graph topology satisfying som...
Errol L. Lloyd, Rui Liu, Madhav V. Marathe, Ram Ra...
131
Voted
SIAMCO
2010
124views more  SIAMCO 2010»
14 years 10 months ago
Reachability and Minimal Times for State Constrained Nonlinear Problems without Any Controllability Assumption
We consider a target problem for a nonlinear system under state constraints. We give a new continuous level-set approach for characterizing the optimal times and the backward-reach...
Olivier Bokanowski, Nicolas Forcadel, Hasnaa Zidan...
CPAIOR
2007
Springer
15 years 9 months ago
Solving a Stochastic Queueing Control Problem with Constraint Programming
In a facility with front room and back room operations, it is useful to switch workers between the rooms in order to cope with changing customer demand. Assuming stochastic custome...
Daria Terekhov, J. Christopher Beck
149
Voted
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 9 months ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen