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.
Produkteigenschaften
- Artikelnummer: 9783030264574
- Medium: Buch
- ISBN: 978-3-030-26457-4
- Verlag: Springer International Publishing
- Erscheinungstermin: 18.01.2020
- Sprache(n): Englisch
- Auflage: 1. Auflage 2020
- Serie: Modeling and Optimization in Science and Technologies
- Produktform: Gebunden
- Gewicht: 1027 g
- Seiten: 502
- Format (B x H x T): 160 x 241 x 32 mm
- Ausgabetyp: Kein, Unbekannt
Themen
- Technische Wissenschaften
- Maschinenbau | Werkstoffkunde
- Technische Mechanik | Werkstoffkunde
- Technische Thermodynamik
- Technische Wissenschaften
- Maschinenbau | Werkstoffkunde
- Technische Mechanik | Werkstoffkunde
- Technische Thermodynamik
- Technische Wissenschaften
- Maschinenbau | Werkstoffkunde
- Technische Mechanik | Werkstoffkunde
- Statik, Dynamik, Kinetik, Kinematik