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QUESTA
2011
13 years 1 months ago
Queues with waiting time dependent service
Motivated by service levels in terms of the waiting-time distribution seen in e.g. call centers, we consider two models for systems with a service discipline that depends on the w...
René Bekker, G. M. Koole, B. F. Nielsen, T....
JGO
2010
138views more  JGO 2010»
13 years 9 months ago
Continuous GRASP with a local active-set method for bound-constrained global optimization
Abstract. Global optimization seeks a minimum or maximum of a multimodal function over a discrete or continuous domain. In this paper, we propose a hybrid heuristic – based on th...
Ernesto G. Birgin, Erico M. Gozzi, Mauricio G. C. ...
ICML
1998
IEEE
14 years 11 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
EOR
2010
116views more  EOR 2010»
13 years 11 months ago
Speeding up continuous GRASP
Continuous GRASP (C-GRASP) is a stochastic local search metaheuristic for finding cost-efficient solutions to continuous global optimization problems subject to box constraints (Hi...
Michael J. Hirsch, Panos M. Pardalos, Mauricio G. ...
OL
2007
121views more  OL 2007»
13 years 10 months ago
Global optimization by continuous grasp
We introduce a novel global optimization method called Continuous GRASP (C-GRASP) which extends Feo and Resende’s greedy randomized adaptive search procedure (GRASP) from the dom...
Michael J. Hirsch, Cláudio Nogueira de Mene...