Metaheuristics and optimization in civil engineering /

Saved in:
Bibliographic Details
Imprint:Cham : Springer, [2015]
©2016
Description:1 online resource (xi, 302 pages) : illustrations (some color)
Language:English
Series:Modeling and optimization in science and technologies, 2196-7326 ; volume 7
Modeling and optimization in science and technologies ; volume 7.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11251292
Hidden Bibliographic Details
Other authors / contributors:Yang, Xin-She, editor.
Bekdaş, Gebrail, editor.
Nigdeli, Sinan Melih, editor.
ISBN:9783319262451
3319262459
9783319262437
3319262432
Notes:Online resource; title from PDF title page (SpringerLink, viewed December 21, 2015).
Summary: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.
Other form:Print version: 3319262432 9783319262437
Standard no.:10.1007/978-3-319-26245-1