Nature-Inspired Methods for Metaheuristics Optimization: Algorithms and Applications in Science and Engineering
- Length: 515 pages
- Edition: 1
- Language: English
- Publisher: Springer
- Publication Date: 2021-02-01
- ISBN-10: 3030264602
- ISBN-13: 9783030264604
- Sales Rank: #0 (See Top 100 Books)
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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