A framework for security modeling using knowledge engineering

Authors:
Gustavo A. Santana Torrellas
Affiliations:
Instituto Mexicano del Petróleo, Perforación de Pozos, México
Venue:
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Year:
2006

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Abstract

Evolutionary optimization algorithms contain, due to their heuristic inspiration, many heuristic parameters, which need to be empirically tuned for the algorithm to work most properly. This paper deals with tuning those parameters in situations when ...