Nature-Inspired Methods for Metaheuristics Optimization : Algorithms and Applications in Science and Engineering

2020 ed.

Book Details

Format Paperback / Softback

Book Series Modeling and Optimization in Science and Technologies

ISBN-10 3030264602

ISBN-13 9783030264604

Edition 2020 ed.

Publisher Springer Nature Switzerland AG

Imprint Springer Nature Switzerland AG

Country of Manufacture GB

Country of Publication GB

Publication Date Aug 26th, 2021

Print length 502 Pages

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Ksh 19,800.00

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This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature.

This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers.

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