9783030264604 - nature-inspired methods for metaheuristics optimization: algorithms and applications in science and engineering (modeling and optimization in science and technologies, 16, band 16) (2 Ergebnisse)

Sprache: Englisch
Verlag: Springer, 2021
Serie: Modeling and Optimization in Science and Technologies, Buch 12 von 14. Buch 12 von 14 - Modeling and Optimization in Science and Technologies
- Softcover
Anbieter: preigu, Osnabrück, Deutschlandpreigu
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EUR 122,15
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Taschenbuch. Zustand: Neu. Nature-Inspired Methods for Metaheuristics Optimization | Algorithms and Applications in Science and Engineering | Fouad Bennis (u. a.) | Taschenbuch | xiii | Englisch | 2021 | Springer | EAN 9783030264604 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, j…uergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Sprache: Englisch
Verlag: Springer International Publishing, 2021
Serie: Modeling and Optimization in Science and Technologies, Buch 12 von 14. Buch 12 von 14 - Modeling and Optimization in Science and Technologies
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 139,09
EUR 64,41 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 som…e 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.