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» Evolutionary multiobjective optimization
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MCS
2007
Springer
15 years 11 months ago
Cooperative Coevolutionary Ensemble Learning
Abstract. A new optimization technique is proposed for classifiers fusion — Cooperative Coevolutionary Ensemble Learning (CCEL). It is based on a specific multipopulational evo...
Daniel Kanevskiy, Konstantin Vorontsov
GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
15 years 10 months ago
Comparing Search Algorithms for the Temperature Inversion Problem
Several inverse problems exist in the atmospheric sciences that are computationally costly when using traditional gradient based methods. Unfortunately, many standard evolutionary ...
Monte Lunacek, L. Darrell Whitley, Philip Gabriel,...
132
Voted
EVOW
2010
Springer
15 years 8 months ago
On the Benefit of Sub-optimality within the Divide-and-Evolve Scheme
Divide-and-Evolve (DaE) is an original "memeticization" of Evolutionary Computation and Artificial Intelligence Planning. DaE optimizes either the number of actions, or t...
Jacques Bibai, Pierre Savéant, Marc Schoena...
119
Voted
ATAL
2009
Springer
15 years 11 months ago
Evolutionary testing of autonomous software agents
A system built in terms of autonomous agents may require even greater correctness assurance than one which is merely reacting to the immediate control of its users. Agents make su...
Cu D. Nguyen, Anna Perini, Paolo Tonella, Simon Mi...
GECCO
2009
Springer
161views Optimization» more  GECCO 2009»
15 years 11 months ago
Are evolutionary rule learning algorithms appropriate for malware detection?
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classi...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...