Computational Intelligence-based Optimization Algorithms : From Theory to Practice

Babak (University of Exeter Zolghadr-Asli

ISBN 10: 1032544155 / ISBN 13: 9781032544151

Published by Taylor & Francis Ltd Okt 2023, 2023

About this Item

Neuware - In this book, we have selected some of the most effective and renowned algorithms in the literature. Each chapter includes a brief review of the algorithm¿s background and the fields it has been used in.

Seller Inventory # 9781032544151

Bibliographic Details

• Title: Computational Intelligence-based Optimization Algorithms : From Theory to Practice
• Publisher: Taylor & Francis Ltd Okt 2023
• Publication Date: 2023
• Language: English
• ISBN 10: 1032544155
• ISBN 13: 9781032544151
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 156H x 0D millimeters 234 millimeters width by 156 millimeters height by 0 millimeters depth
• Weight: 660 grams

About this title

Synopsis

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 algorithm’s 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.

About the Author

Babak Zolghadr-Asli is currently a joint researcher under the QUEX program, working at the Sustainable Minerals Institute at The University of Queensland in Australia and The Centre for Water Systems at The University of Exeter in the UK. His primary research interest is to incorporate computational and artificial intelligence to understand the sustainable management of water resources.