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Metaheuristic Methods

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 35))

Abstract

In this chapter we start to focus our attention only on heuristic methods, describing several important, well-established methods and trying to point out how and why they are useful whenever we face certain difficult optimization problems. Although (meta)heuristic algorithms are numerous, we opted for presenting here just a few of them, that, we believe, can give the reader a good view of the whole class. The emphasis will be on their qualitative aspects.

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Aguiar e Oliveira Junior, H., Ingber, L., Petraglia, A., Rembold Petraglia, M., Augusta Soares Machado, M. (2012). Metaheuristic Methods. 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_3

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  • DOI: https://doi.org/10.1007/978-3-642-27479-4_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27478-7

  • Online ISBN: 978-3-642-27479-4

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