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AI
2008
Springer
15 years 6 months ago
An experimental evaluation of simplicity in rule learning
While recent research on rule learning has focussed largely on finding highly accurate hypotheses, we evaluate the degree to which these hypotheses are also simple, that is small....
Ulrich Rückert, Luc De Raedt
GECCO
2009
Springer
153views Optimization» more  GECCO 2009»
15 years 11 months ago
Benchmarking the (1+1) evolution strategy with one-fifth success rule on the BBOB-2009 function testbed
In this paper, we benchmark the (1+1) Evolution Strategy (ES) with one-fifth success rule which is one of the first and simplest adaptive search algorithms proposed for optimiza...
Anne Auger
EMO
2006
Springer
172views Optimization» more  EMO 2006»
15 years 10 months ago
Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) combines a mutation operator that adapts its search distribution to the underlying optimization prob...
Christian Igel, Thorsten Suttorp, Nikolaus Hansen
CAISE
2009
Springer
16 years 29 days ago
A Heuristic Method for Business Process Model Evaluation
In this paper, we present a heuristic approach for finding errors and possible improvements in business process models. First, we translate the information that is included in a m...
Volker Gruhn, Ralf Laue
IAT
2006
IEEE
16 years 13 days ago
Evaluating Different Genetic Operators in the Testing for Unwanted Emergent Behavior Using Evolutionary Learning of Behavior
We present an experimental comparison of different genetic operators regarding their use in an evolutionary learning method that searches for unwanted emergent behavior in a multi...
Jörg Denzinger, Jordan Kidney