Description: Nature-Inspired Methods for Metaheuristics Optimization 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). Algorithms and Applications in Science and Engineering Author(s): Fouad Bennis, Rajib Kumar Bhattacharjya Format: Paperback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030264604, 978-3030264604 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.
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Location: Aldershot
End Time: 2024-11-23T09:15:11.000Z
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Book Title: Nature-Inspired Methods for Metaheuristics Optimization
Subject Area: Data Analysis, Mechanical Engineering
Item Height: 235 mm
Item Width: 155 mm
Series: Modeling and Optimization in Science and Technologies
Author: Fouad Bennis, Rajib Kumar Bhattacharjya
Publication Name: Nature-Inspired Methods for Metaheuristics Optimization: Algorithms and Applications in Science and Engineering
Format: Paperback
Language: English
Publisher: Springer Nature Switzerland A&G
Subject: Engineering & Technology, Computer Science, Science, Management
Publication Year: 2021
Type: Textbook
Item Weight: 919 g
Number of Pages: 502 Pages
