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03356nam a22005055i 4500 |
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978-3-319-26467-7 |
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DE-He213 |
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20170518202812.0 |
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cr nn 008mamaa |
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151209s2016 gw | s |||| 0|eng d |
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|a 9783319264677
|9 978-3-319-26467-7
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|a 10.1007/978-3-319-26467-7
|2 doi
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|d GrThAP
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|a Q342
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|a COM004000
|2 bisacsh
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|a 006.3
|2 23
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|a Aguiar e Oliveira Junior, Hime.
|e author.
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|a Evolutionary Global Optimization, Manifolds and Applications
|h [electronic resource] /
|c by Hime Aguiar e Oliveira Junior.
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| 264 |
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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| 300 |
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|a XIII, 137 p. 43 illus., 26 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
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|a Studies in Systems, Decision and Control,
|x 2198-4182 ;
|v 43
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|a Part I Introductory Information -- Part II Global optimization on manifolds -- Part III Further Applications of fuzzy ASA.
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|a This book presents powerful techniques for solving global optimization problems on manifolds by means of evolutionary algorithms, and shows in practice how these techniques can be applied to solve real-world problems. It describes recent findings and well-known key facts in general and differential topology, revisiting them all in the context of application to current optimization problems. Special emphasis is put on game theory problems. Here, these problems are reformulated as constrained global optimization tasks and solved with the help of Fuzzy ASA. In addition, more abstract examples, including minimizations of well-known functions, are also included. Although the Fuzzy ASA approach has been chosen as the main optimizing paradigm, the book suggests that other metaheuristic methods could be used as well. Some of them are introduced, together with their advantages and disadvantages. Readers should possess some knowledge of linear algebra, and of basic concepts of numerical analysis and probability theory. Many necessary definitions and fundamental results are provided, with the formal mathematical requirements limited to a minimum, while the focus is kept firmly on continuous problems. The book offers a valuable resource for students, researchers and practitioners. It is suitable for university courses on optimization and for self-study. .
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| 650 |
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|a Engineering.
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| 650 |
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|a Mathematical optimization.
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| 650 |
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|a Statistics.
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| 650 |
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|a Computational intelligence.
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| 650 |
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|a Economic theory.
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| 650 |
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4 |
|a Engineering.
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| 650 |
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|a Computational Intelligence.
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| 650 |
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|a Economic Theory/Quantitative Economics/Mathematical Methods.
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| 650 |
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4 |
|a Continuous Optimization.
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| 650 |
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|a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
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| 710 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783319264660
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| 830 |
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|a Studies in Systems, Decision and Control,
|x 2198-4182 ;
|v 43
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-319-26467-7
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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