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PREMI
2005
Springer
13 years 10 months ago
Systematically Evolving Configuration Parameters for Computational Intelligence Methods
The configuration of a computational intelligence (CI) method is responsible for its intelligence (e.g. tolerance, flexibility) as well as its accuracy. In this paper, we investiga...
Jason M. Proctor, Rosina Weber
GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
13 years 6 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
ECAI
2010
Springer
13 years 5 months ago
ISAC - Instance-Specific Algorithm Configuration
We present a new method for instance-specific algorithm configuration (ISAC). It is based on the integration of the algorithm configuration system GGA and the recently proposed sto...
Serdar Kadioglu, Yuri Malitsky, Meinolf Sellmann, ...
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
13 years 10 months ago
Statistical analysis of heuristics for evolving sorting networks
Designing efficient sorting networks has been a challenging combinatorial optimization problem since the early 1960’s. The application of evolutionary computing to this problem ...
Lee K. Graham, Hassan Masum, Franz Oppacher
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
13 years 9 months ago
On the generality of parameter tuning in evolutionary planning
Divide-and-Evolve (DaE) is an original “memeticization” of Evolutionary Computation and Artificial Intelligence Planning. However, like any Evolutionary Algorithm, DaE has se...
Jacques Bibai, Pierre Savéant, Marc Schoena...