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Metaheuristics and optimization in c...

Yang, Xin-She.

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Metaheuristics and optimization in civil engineering

Record Type:	Electronic resources : Monograph/item
Title/Author:	Metaheuristics and optimization in civil engineering/ edited by Xin-She Yang, Gebrail Bekdas, Sinan Melih Nigdeli.
other author:	Yang, Xin-She.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xi, 302 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Civil engineering. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-26245-1
ISBN:	9783319262451$q(electronic bk.)

Metaheuristics and optimization in civil engineering
Metaheuristics and optimization in civil engineering[electronic resource] /edited by Xin-She Yang, Gebrail Bekdas, Sinan Melih Nigdeli. - Cham :Springer International Publishing :2016. - xi, 302 p. :ill. (some col.), digital ;24 cm. - Modeling and optimization in science and technologies,v.72196-7326 ;. - Modeling and optimization in science and technologies ;v.2..

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.

ISBN: 9783319262451$q(electronic bk.)

Standard No.: 10.1007/978-3-319-26245-1doiSubjects--Topical Terms:

860360
Civil engineering.

LC Class. No.: TA145

Dewey Class. No.: 624

Metaheuristics and optimization in civil engineering
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245 0 0 $a Metaheuristics and optimization in civil engineering $h [electronic resource] / $c edited by Xin-She Yang, Gebrail Bekdas, Sinan Melih Nigdeli.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xi, 302 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Modeling and optimization in science and technologies, $x 2196-7326 ; $v v.7
520 $a 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.
650 0 $a Civil engineering. $3 860360
650 0 $a Mathematical optimization. $3 517763
650 1 4 $a Engineering. $3 586835
650 2 4 $a Civil Engineering. $3 891037
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Theoretical and Applied Mechanics. $3 896500
650 2 4 $a Operation Research/Decision Theory. $3 1620900
700 1 $a Yang, Xin-She. $3 906652
700 1 $a Bekdas, Gebrail. $3 2181206
700 1 $a Nigdeli, Sinan Melih. $3 2181207
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Modeling and optimization in science and technologies ; $v v.2. $3 2054704
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-26245-1
950 $a Engineering (Springer-11647)