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» The Monty Python method for generating random variables
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AMC
2006
114views more  AMC 2006»
13 years 7 months ago
A multi-objective resource allocation problem in dynamic PERT networks
We develop a multi-objective model for the resource allocation problem in a dynamic PERT network, where the activity durations are exponentially distributed random variables and t...
Amir Azaron, Reza Tavakkoli-Moghaddam
EMO
2001
Springer
109views Optimization» more  EMO 2001»
13 years 12 months ago
Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms
When we try to implement a multi-objective genetic algorithm (MOGA) with variable weights for finding a set of Pareto optimal solutions, one difficulty lies in determining appropri...
Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
TOMACS
2002
113views more  TOMACS 2002»
13 years 7 months ago
Simulating heavy tailed processes using delayed hazard rate twisting
Consider the problem of estimating the small probability that the maximum of a random walk exceeds a large threshold, when the process has a negative drift and the underlying rand...
Sandeep Juneja, Perwez Shahabuddin
DATE
2009
IEEE
126views Hardware» more  DATE 2009»
14 years 2 months ago
On hierarchical statistical static timing analysis
— Statistical static timing analysis deals with the increasing variations in manufacturing processes to reduce the pessimism in the worst case timing analysis. Because of the cor...
Bing Li, Ning Chen, Manuel Schmidt, Walter Schneid...
CPAIOR
2007
Springer
14 years 1 months ago
YIELDS: A Yet Improved Limited Discrepancy Search for CSPs
Abstract. In this paper, we introduce a Yet ImprovEd Limited Discrepancy Search (YIELDS), a complete algorithm for solving Constraint Satisfaction Problems. As indicated in its nam...
Wafa Karoui, Marie-José Huguet, Pierre Lope...