Nature-Inspired Methods for Metaheuristics Optimization: Algorithms and Applications in Science and Engineering (1st ed. 2020) (Modeling and Optimization in Science and Technologies #16)

By: Fouad Bennis and Rajib Kumar Bhattacharjya

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Synopsis: 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.

Book Quality:: Publisher Quality
ISBN-13:: 9783030264581
Related ISBNs:: 9783030264574
Publisher:: Springer International Publishing
Date of Addition:: 02/06/20
Copyrighted By:: Springer Nature Switzerland AG
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Business and Finance, Technology, Earth Sciences
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Fouad Bennis
Edited by:: Rajib Kumar Bhattacharjya