Metaheuristics and optimization in civil engineering [electronic resource] / Xin-She Yang, Gebrail Bekdaş, Sinan Melih Nigdeli, editors.
2015
TA145
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Title
Metaheuristics and optimization in civil engineering [electronic resource] / Xin-She Yang, Gebrail Bekdaş, Sinan Melih Nigdeli, editors.
ISBN
9783319262451 (electronic book)
3319262459 (electronic book)
9783319262437
3319262432
3319262459 (electronic book)
9783319262437
3319262432
Published
Cham : Springer, [2015].
Copyright
©2016
Language
English
Description
1 online resource (xi, 302 pages) : illustrations.
Item Number
10.1007/978-3-319-26245-1 doi
Call Number
TA145
Dewey Decimal Classification
624
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.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 21, 2015).
Series
Modeling and optimization in science and technologies ; volume 7.
Available in Other Form
Print version: 9783319262437
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