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Metaheuristic Optimization: Nature-Inspired Algorithms Swarm ... - 9783030611101

Description: Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Modestus O. Okwu, Lagouge K. Tartibu Format: Hardback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030611101, 978-3030611101 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.

Price: 103.96 GBP

Location: Aldershot

End Time: 2025-01-16T09:17:04.000Z

Shipping Cost: 37.71 GBP

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Metaheuristic Optimization: Nature-Inspired Algorithms Swarm ... - 9783030611101

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Book Title: Metaheuristic Optimization: Nature-Inspired Algorithms Swarm a...

Number of Pages: 192 Pages

Language: English

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

Publisher: Springer Nature Switzerland A&G

Publication Year: 2020

Subject: Computer Science

Item Height: 235 mm

Item Weight: 477 g

Type: Textbook

Author: Lagouge K. Tartibu, Modestus O. Okwu

Series: Studies in Computational Intelligence

Item Width: 155 mm

Format: Hardcover

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