Nature-Inspired Methods for Metaheuristics Optimization: Algorithms and Applications in Science and Engineering (Modeling and Optimization in Science and Technologies (16), Band 16)
Fouad Bennis (editor), Rajib Kumar Bhattacharjya (editor)
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.
الفئات:
عام:
2020
الإصدار:
1
الناشر:
Springer
اللغة:
english
الصفحات:
515
ISBN 10:
3030264572
ISBN 13:
9783030264574
ملف:
PDF, 16.76 MB
IPFS:
,
english, 2020
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