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GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
13 years 9 months ago
Evolving robust controller parameters using covariance matrix adaptation
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
Gerulf K. M. Pedersen, Martin V. Butz
KES
1998
Springer
13 years 12 months ago
Properties of robust solution searching in multi-dimensional space with genetic algorithms
-A large number of studies on Genetic Algorithms (GAs) emphasize finding a globally optimal solution. Some other investigations have also been made for detecting multiple solutions...
Shigeyoshi Tsutsui, Lakhmi C. Jain
ATMOS
2010
136views Optimization» more  ATMOS 2010»
13 years 6 months ago
An Empirical Analysis of Robustness Concepts for Timetabling
Calculating timetables that are insensitive to disturbances has drawn considerable research efforts due to its practical importance on the one hand and its hard tractability by c...
Marc Goerigk, Anita Schöbel
CVPR
2007
IEEE
14 years 9 months ago
Optimizing Distribution-based Matching by Random Subsampling
We boost the efficiency and robustness of distributionbased matching by random subsampling which results in the minimum number of samples required to achieve a specified probabili...
Alex Po Leung, Shaogang Gong
CDC
2010
IEEE
167views Control Systems» more  CDC 2010»
13 years 2 months ago
Numerical methods for the optimization of nonlinear stochastic delay systems, and an application to internet regulation
The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...
Harold J. Kushner