Harmony Search Algorithms for Structural Design Optimization
Language: English
Published by Berlin Springer Berlin Heidelberg Springer Sep 2009, 2009
- Hardcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 92.25
Quantity: 2 available
Add to basketItem description from seller
This item is printed on demand - it takes 3-4 days longer - Neuware -Various structures, such as buildings, bridges, and paved roads play an important role in our lives. However, these construction projects require large expenditures. Designing infrastructure cost-efficiently while satisfying all necessary design constraints is one of the most important and difficult tasks for a structural engineer. Traditionally, mathematical gradient-based optimization techniques have been applied to these designs. However, these gradient-based methods are not suitable for discrete design variables such as factory-made cross sectional area of structural members. Recently, researchers have turned their interest to phenomenon-mimicking optimization techniques because these techniques have proved able to efficiently handle discrete design variables. One of these techniques is harmony search, an algorithm developed from musical improvisation that has been applied to various structural design problems and has demonstrated cost-savings. This book gathers all the latest developments relating to the application of the harmony search algorithm in the structural design field in order for readers to efficiently understand the full spectrum of the algorithm's potential and to easily apply the algorithm to their own structural problems. This book contains six chapters with the following subjects: standard harmony search algorithm and its applications by Lee; standard harmony search algorithm for steel frame design by Degertekin; adaptive harmony search algorithm and its applications by Saka and Hasançebi; harmony particle swarm algorithm and its applications by Li and Liu; hybrid algorithm of harmony search, particle swarm & ant colony for structural design by Kaveh and Talatahari; and parameter calibration of viscoelastic and damage functions by Mun and Geem. 227 pp. Englisch.…
Seller Inventory # 9783642034497
- Title
- Harmony Search Algorithms for Structural Design Optimization
- Author
- Zong Woo Geem
- Publisher
- Berlin Springer Berlin Heidelberg Springer Sep 2009
- Publication year
- 2009
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3642034497
- ISBN 13
- 9783642034497
- Item weight
- 520 grams
- Dimensions
- 240x156x36 mm
"Synopsis" may belong to another edition of this title.
From the Back Cover
Various structures, such as buildings, bridges, stadiums, paved roads, and offshore structures, play an important role in our lives. However, constructing these structures requires lots of budget. Thus, how to cost-efficiently design them while satisfying all the design constraints is an important factor to structural engineers. Traditionally, mathematical gradient-based optimization techniques have been applied to the design. However, these gradient-based methods are not suitable for discrete-type design variables such as ready-made cross sectional area of structural members. Recently, researchers have turned their interest into metaheuristic optimization techniques because they are able to efficiently handle discrete design variables. Harmony search, as a metaheuristic algorithm concepted from music improvisation, has been vigorously applied to various structural design problems, obtaining good results. Thus, this book gathers all the latest developments of harmony search algorithm in structural design field in order for readers to efficiently understand a full spectrum of the algorithm’s potential in structural design and to easily apply the algorithm to their own structural problems.
"About the title" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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