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EC
2007
167views ECommerce» more  EC 2007»
15 years 6 months ago
Comparison-Based Algorithms Are Robust and Randomized Algorithms Are Anytime
Randomized search heuristics (e.g., evolutionary algorithms, simulated annealing etc.) are very appealing to practitioners, they are easy to implement and usually provide good per...
Sylvain Gelly, Sylvie Ruette, Olivier Teytaud
PE
2002
Springer
124views Optimization» more  PE 2002»
15 years 6 months ago
Continuous-time hidden Markov models for network performance evaluation
In this paper, we study the use of continuous-time hidden Markov models (CT-HMMs) for network protocol and application performance evaluation. We develop an algorithm to infer the...
Wei Wei, Bing Wang, Donald F. Towsley
PPSN
2010
Springer
15 years 4 months ago
Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis
We present methods to answer two basic questions that arise when benchmarking optimization algorithms. The first one is: which algorithm is the `best' one? and the second one:...
Olaf Mersmann, Mike Preuss, Heike Trautmann
IOR
2011
107views more  IOR 2011»
15 years 1 months ago
Information Collection on a Graph
We derive a knowledge gradient policy for an optimal learning problem on a graph, in which we use sequential measurements to refine Bayesian estimates of individual edge values i...
Ilya O. Ryzhov, Warren B. Powell
TSMC
2010
15 years 1 months ago
A Mathematical Programming Solution to the Mars Express Memory Dumping Problem
The memory dumping problem arises in the context of planning and scheduling activities of the Mars Express mission of the European Space Agency. The problem consists of scheduling...
Giovanni Righini, Emanuele Tresoldi