Evolutionary Global Optimization, Manifolds and Applications

Name: Evolutionary Global Optimization, Manifolds and Applications
Brand: Springer International Publishing AG
SKU: 9783319264660
Price: 424.53 PLN
Availability: InStock

Autor: Hime Aguiar e Oliveira

Język:

Oprawa: Twarda

Wydawca: Springer International Publishing AG

Dostępność: Dostępna u dostawcy

Wysyłamy za 10-13 dni

424.53 zł

This book presents powerful techniques for solving global optimization problems on manifolds by mean...

Informacje o książce

Autor

Hime Aguiar e Oliveira

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2015

strony

137

EAN

9783319264660

ISBN

3319264664

Enbook ID

09931509

Wydawca

Springer International Publishing AG

Waga

3554

Wymiary

155 x 235 x 13

Pełny opis

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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