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» A hybrid approach to parameter tuning in genetic algorithms
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UAI
1996
13 years 8 months ago
Topological parameters for time-space tradeoff
In this paper we propose a family of algorithms combining treeclustering with conditioning that trade space for time. Such algorithms are useful for reasoning in probabilistic and...
Rina Dechter
EC
2002
228views ECommerce» more  EC 2002»
13 years 7 months ago
Improved Sampling of the Pareto-Front in Multiobjective Genetic Optimizations by Steady-State Evolution: A Pareto Converging Gen
Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention. In this paper, we pre...
Rajeev Kumar, Peter Rockett
JCP
2007
108views more  JCP 2007»
13 years 7 months ago
A Genetic Algorithm Method to Assimilate Sensor Data for a Toxic Contaminant Release
— Following a toxic contaminant release, either accidental or intentional, predicting the transport and dispersion of the contaminant becomes a critical problem for Homeland Defe...
Sue Ellen Haupt, George S. Young, Christopher T. A...
JSS
2010
104views more  JSS 2010»
13 years 2 months ago
Using hybrid algorithm for Pareto efficient multi-objective test suite minimisation
Test suite minimisation techniques seek to reduce the effort required for regression testing by selecting a subset of test suites. In previous work, the problem has been considere...
Shin Yoo, Mark Harman
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
14 years 1 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das