[PDF.83ja] Metaheuristics in Water, Geotechnical and Transport Engineering (Elsevier Insights)

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

[PDF.rq12] Metaheuristics in Water, Geotechnical and Transport Engineering (Elsevier Insights)

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 | #4495791 in eBooks |  2012-12-31 |  2012-12-31 | File type: PDF

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||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

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 s...

You can specify the type of files you want, for your gadget.Metaheuristics in Water, Geotechnical and Transport Engineering (Elsevier Insights)   |  From Elsevier. A good, fresh read, highly recommended.

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