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GECCO
2008
Springer
157views Optimization» more  GECCO 2008»
15 years 7 months ago
Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata
Self-adaptation is used a lot in Evolutionary Strategies and with great success, yet for some reason it is not the mutation adaptation of choice for Genetic Algorithms. This poste...
Ron Breukelaar, Thomas Bäck
EOR
2010
108views more  EOR 2010»
15 years 6 months ago
Managing new and differentiated remanufactured products
We study a firm that makes new products in the first period and uses returned cores to make remanufactured products (along with new products) in future periods. The remanufactured...
Geraldo Ferrer, Jayashankar M. Swaminathan
PE
2006
Springer
109views Optimization» more  PE 2006»
15 years 6 months ago
A discrete-time queueing model with periodically scheduled arrival and departure slots
We consider a time-slotted queueing model where each time slot can either be an arrival slot, in which new packets arrive, or a departure slot, in which packets are transmitted an...
Johan van Leeuwaarden, Dee Denteneer, Jacques Resi...
PROCEDIA
2010
85views more  PROCEDIA 2010»
15 years 4 months ago
Toward interactive statistical modeling
When solving machine learning problems, there is currently little automated support for easily experimenting with alternative statistical models or solution strategies. This is be...
Sooraj Bhat, Ashish Agarwal, Alexander Gray, Richa...
CCE
2010
15 years 3 months ago
A simple heuristic for reducing the number of scenarios in two-stage stochastic programming
In this work we address the problem of solving multiscenario optimization models that are deterministic equivalents of two-stage stochastic programs. We present a heuristic approx...
Ramkumar Karuppiah, Mariano Martín, Ignacio...