Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing

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. H...

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Bibliografische gegevens
Hoofdauteurs: Aguiar e Oliveira Junior, Hime, Ingber, Lester (Auteur), Petraglia, Antonio (Auteur), Rembold Petraglia, Mariane (Auteur), Augusta Soares Machado, Maria (Auteur)
Formaat: Livre numérique
Taal:Anglais
Gepubliceerd in: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Editie:2012.
Reeks:Intelligent Systems Reference Library 35
Online toegang:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Opmerking: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing, Texte imprimé, 9783642274787
• Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing, Texte imprimé, 9783642433436
• Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing, Texte imprimé, 9783642274800
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100 1 |a Aguiar e Oliveira Junior, Hime. 
245 1 0 |a Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing   |c by Hime Aguiar e Oliveira Junior, Lester Ingber, Antonio Petraglia, Mariane Rembold Petraglia, Maria Augusta Soares Machado. 
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505 1 |a Global optimization and its applications Heuristic methods Fuzzy adaptive simulated annealing Unconstrained optimization Constrained optimization Applications to signal processing Fuzzy modeling with fuzzy adaptive simulated annealing Statistical estimation and global optimization Nonlinear equation solving Space-filling curves and fuzzy ASA Epilogue 
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520 |a 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 
700 1 |a Ingber, Lester.  |4 aut 
700 1 |a Petraglia, Antonio.  |4 aut 
700 1 |a Rembold Petraglia, Mariane.  |4 aut 
700 1 |a Augusta Soares Machado, Maria.  |4 aut 
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