Data & IT
Nature-Inspired Methods for Metaheuristics Optimization
Fouad Bennis • Rajib Kumar Bhattacharjya
Inbunden
1949:-
Uppskattad leveranstid 7-12 arbetsdagar
Fri frakt för medlemmar vid köp för minst 249:-
Andra format:
- Pocket/Paperback 1949:-
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.
- Format: Inbunden
- ISBN: 9783030264574
- Språk: Engelska
- Antal sidor: 502
- Utgivningsdatum: 2020-01-18
- Förlag: Springer Nature Switzerland AG