Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational I-image

Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational I

$ 155.54

ISBN-13: 9783030611101 Book Title: Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and gtin13: 9783030611101 ISBN: 9783030611101

Description

The Nile on eBay FREE SHIPPING UK WIDE Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications by Modestus O. Okwu, Lagouge K. Tartibu 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. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description 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 examplesincluded in all sections. This book is for experts in Engineering and Applied Sciences, Natural and Formal Sciences, Economics, Humanities and Social Sciences. Back Cover 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 Introduction To Optimization.- Particle Swarm Optimisation.- Artificial Bee Colony Algorithm.- Ant Colony Algorithm.- Grey Wolf Optimizer.- Whale Optimization Algorithm.- Bat Algorithm.- Ant Lion Optimization Algorithm.- Grasshopper Optimisation Algorithm (Goa).- Moths–Flame Optimization Algorithm.- Genetic Algorithm.- Artificial Neural Network.- Future of Nature Inspired Algorithm, Swarm and Computational Intelligence. Feature Introduction to metaheuristic techniques and algorithms, biomimicry and nature-inspired algorithms with swarm intelligence and presents the basics of the algorithms Provides a guide of how to develop algorithms from nature-inspired systems and to solve real-life complex stochastic problems Includes a list of real-life problems, model development with solution procedure from classical techniques, metaheuristic, and swarm intelligence Details ISBN 3030611108 Author Lagouge K. Tartibu Series Studies in Computational Intelligence Language English ISBN-10 3030611108 ISBN-13 9783030611101 Format Hardcover Series Number 927 DOI 10.1007/978-3-030-61111-8 Pages 192 Year 2020 Publication Date 2020-11-14 Publisher Springer Nature Switzerland AG Imprint Springer Nature Switzerland AG Place of Publication Cham Country of Publication Switzerland UK Release Date 2020-11-14 Audience Professional & Vocational Edition Description 2021 ed. Edition 2021st Country of Origin NL Product Class Description Computing: Professional & Programming Alternative 9783030611118 Illustrations 92 Illustrations, color; 20 Illustrations, black and white We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:137663651;

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