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

Imprint Amsterdam ; Boston : Elsevier, 2012.

Copies

Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Edition 1st ed.
Description 1 online resource (xvii, 484 pages) : illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Elsevier insights
Elsevier insights.
Bibliography Includes bibliographical references.
Contents pt. 1. Water resources -- pt. 2. Geotechnical engineering -- pt. 3. Transport engineering.
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.
Note Print version record.
Subject Mathematical optimization.
Engineering mathematics.
Optimisation mathématique.
Mathématiques de l'ingénieur.
MATHEMATICS -- Optimization.
Engineering mathematics
Mathematical optimization
Added Author Yang, Xin-She.
Other Form: Print version: Metaheuristics in water, geotechnical and transport engineering. 1st ed. Amsterdam ; Oxford : Elsevier, ©2012 9780123982964 (OCoLC)797975112
ISBN 9780123983176 (electronic bk.)
0123983177 (electronic bk.)
9781283619912 (MyiLibrary)
1283619911 (MyiLibrary)
9780123982964
0123982960
Standard No. AU@ 000050086679
CHNEW 001010688
DEBBG BV041056986
DEBBG BV042315037
DEBSZ 405344619
DEBSZ 43123891X
DEBSZ 449325296
NLGGC 352152095
NZ1 15190886
AU@ 000068211034

 
    
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