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CCE
2004
13 years 9 months ago
An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem
The algorithmic framework developed for improving heuristic solutions of the new version of deterministic TSP [Choi et al., 2002] is extended to the stochastic case. To verify the...
Jaein Choi, Jay H. Lee, Matthew J. Realff
SIGPRO
2010
145views more  SIGPRO 2010»
13 years 4 months ago
Blind identification of MISO-FIR channels
In this paper, we address the problem of determining the order of MISO channels by means of a series of hypothesis tests based on scalar statistics. Using estimated 4th-order outp...
Carlos Estêvão R. Fernandes, Pierre C...
CCE
2008
13 years 10 months ago
Chance constrained programming approach to process optimization under uncertainty
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
Pu Li, Harvey Arellano-Garcia, Günter Wozny
AAAI
2004
13 years 11 months ago
Solving Generalized Semi-Markov Decision Processes Using Continuous Phase-Type Distributions
We introduce the generalized semi-Markov decision process (GSMDP) as an extension of continuous-time MDPs and semi-Markov decision processes (SMDPs) for modeling stochastic decisi...
Håkan L. S. Younes, Reid G. Simmons
WSC
2000
13 years 11 months ago
Practical aspects of simulating systems having arrival processes with long-range dependence
Analysis of network traffic indicates that packet arrival processes have significant stochastic dependence. It has been suggested that this dependence is so strong as to be wellmo...
Robert Geist, James Westall