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

Electronic Resource

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

Okwu, Modestus O. - Personal Name; Tartibu, Lagouge K. - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
1908001252EB0001858006.3 Okw mCentral Library (OPAC)Available
Detail Information
Series Title
Studies in Computational Intelligence
Call Number
006.3 Okw m
Publisher
Switzerland : Springer Cham., 2020
Collation
xii, 192p.:Ill
Language
English
ISBN/ISSN
978-3-030-61111-8
Classification
006.3
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Computational Intelligence
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

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