Yang / Nigdeli / Bekdas | Metaheuristics and Optimization in Civil Engineering | Buch | 978-3-319-26243-7 | sack.de

Buch, Englisch, Band 7, 302 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 5974 g

Reihe: Modeling and Optimization in Science and Technologies

Yang / Nigdeli / Bekdas

Metaheuristics and Optimization in Civil Engineering

Buch, Englisch, Band 7, 302 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 5974 g

Reihe: Modeling and Optimization in Science and Technologies

ISBN: 978-3-319-26243-7
Verlag: Springer International Publishing


This timely book deals with a current topic, i.e. the applications of metaheuristic algorithms, with a primary focus on optimization problems in civil engineering. The first chapter offers a concise overview of different kinds of metaheuristic algorithms, explaining their advantages in solving complex engineering problems that cannot be effectively tackled by traditional methods, and citing the most important works for further reading. The remaining chapters report on advanced studies on the applications of certain metaheuristic algorithms to specific engineering problems. Genetic algorithm, bat algorithm, cuckoo search, harmony search and simulated annealing are just some of the methods presented and discussed step by step in real-application contexts, in which they are often used in combination with each other. Thanks to its synthetic yet meticulous and practice-oriented approach, the book is a perfect guide for graduate students, researchers and professionals willing to applying metaheuristic algorithms in civil engineering and other related engineering fields, such as mechanical, transport and geotechnical engineering. It is also a valuable aid for both lectures and advanced engineering students.
Yang / Nigdeli / Bekdas Metaheuristics and Optimization in Civil Engineering jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


Review and Applications of Metaheuristic Algorithms in Civil Engineering.- Application of the Flower Pollination Algorithm in Structural Engineering.- Use of Swarm Intelligence in Structural Steel Design Optimization.- Metaheuristic Optimization in Structural Engineering.- Performance-Based Optimum Seismic Design of Steel Dual Braced Frames by Bat Algorithm.- Genetic Algorithms for Optimization of 3D Truss Structures.- A Hybrid Metaheuristic Application in Asphalt Pavement Management System.- Optimum Reinforced Concrete Design by Harmony Search Algorithm.- Reactive Power Optimization in Wind Power Plants using Cuckoo Search Algorithm.- A DSS-Based Honey-Bee Mating Optimization Algorithm for Single- and Multi-objective Design of Water Distribution Networks.- Application of the Simulated Annealing Algorithm for Transport Infrastructure Planning.- A hybrid Bat Algorithm with Path Relinking for Capacitated Vehicle Routing Problem.- Hybrid Metaheuristic Algorithms in Geotechnical Engineering.


Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.