This volume includes chapters presenting applications of
different metaheuristics in reliability engineering, including ant
colony optimization, great deluge algorithm, cross-entropy method
and particle swarm optimization. It also presents chapters devoted
to cellular automata and support vector machines, and applications
of artificial neural networks, a powerful adaptive technique that
can be used for learning, prediction and optimization. Several
chapters describe aspects of imprecise reliability and applications
of fuzzy and vague set theory.
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