Metaheuristic applications in structures and infrastructures / edited by Amir Hossein Gandomi, Civil Engineering, The University of Akron, OH, USA, Xin-She Yang, School of Science and Technology, Middlesex University, London, UK, Siamak Talatahari, Marand Faculty of Engineering, University of Tabriz, Tabriz, Iran, Amir Hossein Alavi, Civil Engineering, Iran University of Science and Technology, Tehran, Iran.

Contributor(s):

Material type: Text

TextSeries: Elsevier insightsPublisher: Amsterdam : Elsevier, 2013Edition: First editionDescription: xx, 556 pages : illustrations ; 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780123983640
0123983649

Subject(s):

LOC classification:

TA340 .M44 2013

Online resources:

Publisher description

Summary: Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low-cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are commonly large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems -- Source other than Library of Congress.

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Holdings
Item type	Current library	Call number	Status	Barcode
General Collection	Main Campus Library	TA340 .M44 2013 (Browse shelf(Opens below))	Available	00020504

Includes bibliographical references and index.

Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low-cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are commonly large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems -- Source other than Library of Congress.

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