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Metaheuristics in water, geotechnical and transport engineering
Title statement Metaheuristics in water, geotechnical and transport engineering / edited by Xin-She Yang and others Edition statement First edition Publication Amsterdam ; Boston : Elsevier, 2012 Phys.des. 1 online zdroj (xvii, 484 stran) : ilustrace ISBN 9780123983176 (online ; pdf) 0123983177 9781283619912 1283619911 Edition Elsevier insights Internal Bibliographies/Indexes Note Obsahuje bibliografické odkazy Contents pt. 1. Water resources -- pt. 2. Geotechnical engineering -- pt. 3. Transport engineering. Notes to Availability Přístup pouze pro oprávněné uživatele Note Způsob přístupu: World Wide Web Defekty eBooks on EBSCOhost Another responsib. Yang, Xin-She (editor) Subj. Headings matematická optimalizace mathematical optimization Form, Genre elektronické knihy electronic books Conspect 519.1/.8 - Kombinatorika. Teorie grafů. Matematická statistika. Operační výzkum. Matematické modelování UDC 519.85 , (0.034.2:08) Country Nizozemsko ; Spojené státy americké Language angličtina Document kind Electronic sources URL http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=484589 book
"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.
pt. 1. Water resources -- pt. 2. Geotechnical engineering -- pt. 3. Transport engineering.
Number of the records: 1