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Основной контент книги Evolutionary Algorithms
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Volume 261 page

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Evolutionary Algorithms

Читайте только на Литрес

The book cannot be downloaded as a file, but can be read in our app or online on the website.

$183.47

About the book

Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods.

In six chapters, this book presents the essential knowledge required to efficiently implement evolutionary algorithms.

Chapter 1 describes a generic evolutionary algorithm as well as the basic operators that compose it. Chapter 2 is devoted to the solving of continuous optimization problems, without constraint. Three leading approaches are described and compared on a set of test functions. Chapter 3 considers continuous optimization problems with constraints. Various approaches suitable for evolutionary methods are presented. Chapter 4 is related to combinatorial optimization. It provides a catalog of variation operators to deal with order-based problems. Chapter 5 introduces the basic notions required to understand the issue of multi-objective optimization and a variety of approaches for its application. Finally, Chapter 6 describes different approaches of genetic programming able to evolve computer programs in the context of machine learning.

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Age restriction:
0+
Release date on Litres:
19 June 2018
Volume:
261 p.
ISBN:
9781119136385
Total size:
5.3 МБ
Total number of pages:
261
Publisher:
Copyright holder:
John Wiley & Sons Limited
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