Metaheuristics in Water, Geotechnical and Transport Engineering (Elsevier Insights)

0 avg rating
( 0 ratings by Goodreads )
 
9780123982964: Metaheuristics in Water, Geotechnical and Transport Engineering (Elsevier Insights)

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. This book can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheursitics, optimization in civil engineering and computational intelligence.

  • Provides detailed descriptions of all major metaheuristic algorithms with a focus on practical implementation
  • Develops new hybrid and advanced methods suitable for civil engineering problems at all levels
  • Appropriate for researchers and advanced students to help to develop their work

"synopsis" may belong to another edition of this title.

About the Author:

Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader at Middlesex University London, Adjunct Professor at Reykjavik University (Iceland) and Guest Professor at Xi’an Polytechnic University (China). He is an elected Bye-Fellow at Downing College, Cambridge University. He is also the IEEE CIS Chair for the Task Force on Business Intelligence and Knowledge Management, and the Editor-in-Chief of International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO).

"About this title" may belong to another edition of this title.

Top Search Results from the AbeBooks Marketplace

1.

Published by Elsevier (2012)
ISBN 10: 0123982960 ISBN 13: 9780123982964
New Hardcover First Edition Quantity Available: 1
Seller:
Irish Booksellers
(Rumford, ME, U.S.A.)
Rating
[?]

Book Description Elsevier, 2012. Hardcover. Book Condition: New. book. Bookseller Inventory # M0123982960

More Information About This Seller | Ask Bookseller a Question

Buy New
101.09
Convert Currency

Add to Basket

Shipping: FREE
Within U.S.A.
Destination, Rates & Speeds

2.

Yang, Xin-she (Editor)/ Gandomi, Amir Hossein (Editor)/ Talatahari, Siamak (Editor)/ Alavi, Amir Hossein (Editor)
Published by Elsevier Science Ltd (2012)
ISBN 10: 0123982960 ISBN 13: 9780123982964
New Hardcover Quantity Available: 1
Seller:
Revaluation Books
(Exeter, United Kingdom)
Rating
[?]

Book Description Elsevier Science Ltd, 2012. Hardcover. Book Condition: Brand New. 1st edition. 496 pages. 9.00x6.00x1.25 inches. In Stock. Bookseller Inventory # zk0123982960

More Information About This Seller | Ask Bookseller a Question

Buy New
104.50
Convert Currency

Add to Basket

Shipping: 6
From United Kingdom to U.S.A.
Destination, Rates & Speeds