Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications

✍ Scribed by Modestus O. Okwu, Lagouge K. Tartibu

Publisher: Springer International Publishing;Springer
Year: 2021
Tongue: English
Leaves: 196
Series: Studies in Computational Intelligence 927
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book exemplifies how algorithms are developed by mimicking nature. Classical techniques for solving day-to-day problems is time-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex problems. This book emphasizes the social behaviour of insects, animals and other natural entities, in terms of converging power and benefits. Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm, whale optimization algorithm, firefly algorithm, bat algorithm, ant lion optimization algorithm, grasshopper optimization algorithm, butterfly optimization algorithm and others. The algorithms have been arranged in chapters to help readers gain better insight into nature-inspired systems and swarm intelligence. All the MATLAB codes have been provided in the appendices of the book to enable readers practice how to solve examples included in all sections. This book is for experts in Engineering and Applied Sciences, Natural and Formal Sciences, Economics, Humanities and Social Sciences.

✦ Table of Contents

Front Matter ....Pages i-xii
Introduction to Optimization (Modestus O. Okwu, Lagouge K. Tartibu)....Pages 1-4
Particle Swarm Optimisation (Modestus O. Okwu, Lagouge K. Tartibu)....Pages 5-13
Artificial Bee Colony Algorithm (Modestus O. Okwu, Lagouge K. Tartibu)....Pages 15-31
Ant Colony Algorithm (Modestus O. Okwu, Lagouge K. Tartibu)....Pages 33-41
Grey Wolf Optimizer (Modestus O. Okwu, Lagouge K. Tartibu)....Pages 43-52
Whale Optimization Algorithm (WOA) (Modestus O. Okwu, Lagouge K. Tartibu)....Pages 53-60
Firefly Algorithm (Modestus O. Okwu, Lagouge K. Tartibu)....Pages 61-69
Bat Algorithm (Modestus O. Okwu, Lagouge K. Tartibu)....Pages 71-84
Ant Lion Optimization Algorithm (Modestus O. Okwu, Lagouge K. Tartibu)....Pages 85-94
Grasshopper Optimisation Algorithm (GOA) (Modestus O. Okwu, Lagouge K. Tartibu)....Pages 95-104
Butterfly Optimization Algorithm (Modestus O. Okwu, Lagouge K. Tartibu)....Pages 105-114
Moths–Flame Optimization Algorithm (Modestus O. Okwu, Lagouge K. Tartibu)....Pages 115-123
Genetic Algorithm (Modestus O. Okwu, Lagouge K. Tartibu)....Pages 125-132
Artificial Neural Network (Modestus O. Okwu, Lagouge K. Tartibu)....Pages 133-145
Future of Nature Inspired Algorithm, Swarm and Computational Intelligence (Modestus O. Okwu, Lagouge K. Tartibu)....Pages 147-151
Back Matter ....Pages 153-192

✦ Subjects

Engineering; Computational Intelligence

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