Computational methods through genetic algorithms for obtaining Stackelberg solutions to two-level zero-one programming problems

2002 ◽  
Author(s):  
I. Nishizaki ◽  
M. Sakawa ◽  
K. Kato
Keyword(s):  
Genetic Algorithms ◽  
Computational Methods ◽  
Stackelberg Solutions ◽  
Level Zero

Computational Methods for Two-Level 0–1 Programming Problems through Parallel Genetic Algorithms

2009 ◽  
Author(s):  
Keiichi Niwa ◽  
Ichiro Nishizaki ◽  
Masatoshi Sakawa ◽  
Sio-Iong Ao ◽  
Alan Hoi-Shou Chan ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Computational Methods ◽  
Parallel Genetic Algorithms

scholarly journals A Demonstration of Modern Bayesian Methods for Assessing System Reliability with Multilevel Data and for Allocating Resources

2009 ◽  
Vol 2009 ◽  
pp. 1-10 ◽  
Author(s):  
Todd L. Graves ◽  
Michael S. Hamada
Keyword(s):  
Resource Allocation ◽  
Genetic Algorithms ◽  
Computational Methods ◽  
Test Data ◽  
Bayesian Methods ◽  
System Reliability ◽  
Information Sources ◽  
Expert Knowledge ◽  
Multilevel Data

Good estimates of the reliability of a system make use of test data and expert knowledge at all available levels. Furthermore, by integrating all these information sources, one can determine how best to allocate scarce testing resources to reduce uncertainty. Both of these goals are facilitated by modern Bayesian computational methods. We demonstrate these tools using examples that were previously solvable only through the use of ingenious approximations, and employ genetic algorithms to guide resource allocation.

Computational Methods for Decentralized Two-Level 0–1 Programming Problems through Distributed Genetic Algorithms

2010 ◽  
Author(s):  
Keiichi Niwa ◽  
Tomohiro Hayashida ◽  
Masatoshi Sakawa ◽  
Yishen Yang ◽  
Sio-Iong Ao ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Computational Methods ◽  
Distributed Genetic Algorithms
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