Nature Inspired Methods for Metaheuristics Optimization is popular PDF and ePub book, written by Fouad Bennis in 2020-01-17, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Nature Inspired Methods for Metaheuristics Optimization can be Read Online from any device for your convenience.
Nature Inspired Methods for Metaheuristics Optimization Book PDF Summary
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.
Detail Book of Nature Inspired Methods for Metaheuristics Optimization PDF
- Author : Fouad Bennis
- Release : 17 January 2020
- Publisher : Springer Nature
- ISBN : 9783030264581
- Genre : Business & Economics
- Total Page : 503 pages
- Language : English
- PDF File Size : 15,6 Mb
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