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WSC
1998
13 years 9 months ago
An Analytical Comparison of Optimization Problem Generation Methodologies
Heuristics are an increasingly popular solution method for combinatorial optimization problems. Heuristic use often frees the modeler from some of the restrictions placed on class...
Raymond R. Hill
WSC
2000
13 years 9 months ago
Quasi-Monte Carlo methods in cash flow testing simulations
What actuaries call cash flow testing is a large-scale simulation pitting a company's current policy obligation against future earnings based on interest rates. While life co...
Michael G. Hilgers
WSC
1997
13 years 9 months ago
A Sortation System Model
Automotive manufacturing is a complex task involving several steps of machining and assembly. Typically, larger components of an automobile such as the body, engine etc. are assem...
Arun Jayaraman, Ramu Narayanaswamy, Ali K. Gunal
ECAI
2010
Springer
13 years 9 months ago
Bayesian Monte Carlo for the Global Optimization of Expensive Functions
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
Perry Groot, Adriana Birlutiu, Tom Heskes
ICML
2010
IEEE
13 years 9 months ago
Learning Markov Logic Networks Using Structural Motifs
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
Stanley Kok, Pedro Domingos