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INFOCOM
2009
IEEE
15 years 4 months ago
Budget-Based Self-Optimized Incentive Search in Unstructured P2P Networks
—Distributed object search is the primary function of Peer-to-Peer (P2P) file sharing system to locate and transfer the file. The predominant search schemes in unstructured P2P...
Yi Hu, Min Feng, Laxmi N. Bhuyan, Vana Kalogeraki
TELSYS
2011
207views Education» more  TELSYS 2011»
14 years 4 months ago
GRASP: basic components and enhancements
GRASP (Greedy Randomized Adaptive Search Procedures) is a multistart metaheuristic for producing good-quality solutions of combinatorial optimization problems. Each GRASP iteration...
Paola Festa, Mauricio G. C. Resende
WSC
2008
14 years 12 months ago
Discrete stochastic optimization using linear interpolation
We consider discrete stochastic optimization problems where the objective function can only be estimated by a simulation oracle; the oracle is defined only at the discrete points....
Honggang Wang, Bruce W. Schmeiser
SIMPRA
2008
99views more  SIMPRA 2008»
14 years 9 months ago
Response surface methodology for constrained simulation optimization: An overview
This article summarizes `Generalized Response Surface Methodology'(GRSM), extending Box and Wilson's `Response Surface Methodology'(RSM). GRSM allows multiple rando...
Jack P. C. Kleijnen
AAAI
1998
14 years 11 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge