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Computational Intelligence-based Optimization Algorithms

From Theory to Practice

Udgivet af Taylor & Francis Ltd

Bogdetaljer

  • Hæftet
  • 338 sider
  • Engelsk
ISBN 9781032544151
Om denne bog

Computational intelligence-based optimization methods, also known as metaheuristic optimization algorithms, are a popular topic in mathematical programming.These methods have bridged the gap between various approaches and created a new school of thought to solve real-world optimization problems. In this book, we have s…

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Bogdetaljer
Forlag Taylor & Francis Ltd
Kategori Anvendt matematik
ISBN-13 9781032544151
EAN 9781032544151
Format Hæftet
Sprog Engelsk
sider 338
Undertitel - From Theory to Practice
Produktbeskrivelse
Computational intelligence-based optimization methods, also known as metaheuristic optimization algorithms, are a popular topic in mathematical programming.These methods have bridged the gap between various approaches and created a new school of thought to solve real-world optimization problems. In this book, we have selected some of the most effective and renowned algorithms in the literature. These algorithms are not only practical but also provide thought-provoking theoretical ideas to help readers understand how they solve optimization problems. Each chapter includes a brief review of the algorithms background and the fields it has been used in.Additionally, Python code is provided for all algorithms at the end of each chapter, making this book a valuable resource for beginner and intermediate programmers looking to understand these algorithms.

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