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Autor(en): 
  • Hime Aguiar e Oliveira Junior
  • Lester Ingber
  • Antonio Petraglia
  • Maria Augusta Soares Machado
  • Mariane Rembold Petraglia
  • Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

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    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Januar 2012  
    Genre:  Naturwissensch., Medizin, Technik 
    ISBN:  9783642274787 
    EAN-Code: 
    9783642274787 
    Verlag:  Springer Berlin Heidelberg 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #35 - Intelligent Systems Reference Library  
    Dimensionen:  H 241 mm / B 160 mm / D 16 mm 
    Gewicht:  500 gr 
    Seiten:  220 
    Zus. Info:  HC gerader Rücken kaschiert 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Stochastic global optimization is a very important subject, that has applications in virtually all areas of science and technology. Therefore there is nothing more opportune than writing a book about a successful and mature algorithm that turned out to be a good tool in solving difficult problems. Here we present some techniques for solving  several problems by means of Fuzzy Adaptive Simulated Annealing (Fuzzy ASA), a fuzzy-controlled version of ASA, and by ASA itself. ASA is a sophisticated global optimization algorithm that is based upon ideas of the simulated annealing paradigm, coded in the C programming language and developed to statistically find the best global fit of a nonlinear constrained, non-convex cost function over a multi-dimensional space. By presenting detailed examples of its application we want to stimulate the reader's intuition and make the use of Fuzzy ASA (or regular ASA) easier for everyone wishing to use these tools to solve problems. We kept formal mathematical requirements to a minimum and focused on continuous problems, although ASA is able to handle discrete optimization tasks as well. This book can be used by researchers and practitioners in engineering and industry, in courses on optimization for advanced undergraduate and graduate levels, and also for self-study.

      



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