Coverart for item
The Resource Metaheuristics in water, geotechnical and transport engineering, edited by Xin-She Yang [and others]

Metaheuristics in water, geotechnical and transport engineering, edited by Xin-She Yang [and others]

Label
Metaheuristics in water, geotechnical and transport engineering
Title
Metaheuristics in water, geotechnical and transport engineering
Statement of responsibility
edited by Xin-She Yang [and others]
Contributor
Subject
Language
eng
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 often 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. This book examines the latest developments of metaheuristics and their applications in water, geotechnical and transport engineering offering practical case studies as examples to demonstrate real world applications. Topics cover a range of areas within engineering, including reviews of optimization algorithms, artificial intelligence, cuckoo search, genetic programming, neural networks, multivariate adaptive regression, swarm intelligence, genetic algorithms, ant colony optimization, evolutionary multiobjective optimization with diverse applications in engineering such as behavior of materials, geotechnical design, flood control, water distribution and signal networks."--Publisher's website
Member of
Cataloging source
OPELS
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Elsevier insights
Metaheuristics in water, geotechnical and transport engineering, edited by Xin-She Yang [and others]
Label
Metaheuristics in water, geotechnical and transport engineering, edited by Xin-She Yang [and others]
Link
http://libproxy.rpi.edu/login?url=http://www.sciencedirect.com/science/book/9780123982964
Publication
Related Contributor
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Related Agents
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Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
pt. 1. Water resources -- pt. 2. Geotechnical engineering -- pt. 3. Transport engineering
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9781283619912&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4170741'}
Edition
1st ed.
Extent
1 online resource (xvii, 484 pages)
File format
unknown
Form of item
online
Isbn
9781283619912
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote

Library Locations

    • Folsom LibraryBorrow it
      110 8th St, Troy, NY, 12180, US
      42.729766 -73.682577
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