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CIS
2006
Springer
13 years 8 months ago
A New Multi-objective Evolutionary Optimisation Algorithm: The Two-Archive Algorithm
Many Multi-Objective Evolutionary Algorithms (MOEAs) have been proposed in recent years. However, almost all MOEAs have been evaluated on problems with two to four objectives only...
Kata Praditwong, Xin Yao
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 9 months ago
On the appropriateness of evolutionary rule learning algorithms 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...
IDEAL
2009
Springer
13 years 2 months ago
Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool
This work is related to the KEEL1 (Knowledge Extraction based on Evolutionary Learning) tool, a non-commercial software that supports data management, design of experiments and an ...
Alberto Fernández, Julián Luengo, Jo...
FSTTCS
2003
Springer
13 years 10 months ago
Comparing Sequences with Segment Rearrangements
Computational genomics involves comparing sequences based on “similarity” for detecting evolutionary and functional relationships. Until very recently, available portions of th...
Funda Ergün, S. Muthukrishnan, Süleyman ...
GECCO
2009
Springer
161views Optimization» more  GECCO 2009»
13 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...