Abstract
The Adaptive Simulated Annealingmethod (ASA) has been successful in numerous areas of knowledge, ranging from optimization-based engineering design to statistical estimation, and can be very useful in constrained global optimization tasks as well. That is what we will see in this chapter by means of a series of examples containing difficult problems. In this fashion, ASA and Fuzzy ASA can be considered as good alternatives to well-established paradigms, like ABC, DE, PSO and GA, for instance, in CGOPs.
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Aguiar e Oliveira Junior, H., Ingber, L., Petraglia, A., Rembold Petraglia, M., Augusta Soares Machado, M. (2012). Constrained Optimization. In: Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing. Intelligent Systems Reference Library, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27479-4_6
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DOI: https://doi.org/10.1007/978-3-642-27479-4_6
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