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Nature-Inspired Methods for Metaheuristics Optimization : Algorithms and Applications in Science and Engineering - 2020 ed.

By: (Edited by) Fouad Bennis , (Edited by) Rajib Kumar Bhattacharjya

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Ksh 19,800.00

Format: Paperback / Softback

ISBN-10: 3030264602

ISBN-13: 9783030264604

Edition: 2020 ed.

Series: Modeling and Optimization in Science and Technologies

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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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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