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Group Search Optimization For Applications In Structural Design (adaptation, Learning, And Optimization) by Lijuan Li, Feng Liu (auth.) is a nonfiction available to read on EtoBox.

What is Group Search Optimization For Applications In Structural Design (adaptation, Learning, And Optimization) about?

Civil engineering structures such as buildings, bridges, stadiums, and offshore structures play an import role in our daily life. However, constructing these structures requires lots of budget. Thus, how to cost-efficiently design structures satisfying all required design constraints is an important factor to structural engineers. Traditionally, mathematical gradient-based optimal techniques have been applied to the design of optimal structures. While, many practical engineering optimal problems are very complex and hard to solve by traditional method. In the past few decades, swarm intelligence algorithms, which were inspired by the social behaviour of natural animals such as fish schooling and bird flocking, were developed  because they do not require conventional mathematical assumptions and thus possess better global search abilities than the traditional optimization algorithms and  have attracted more and more attention. These intelligent based algorithms are very suitable for continuous and discrete design variable problems such as ready-made structural members and have been vigorously applied to various structural design problems and obtained good results. This book gathers

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Author

Lijuan Li, Feng Liu (auth.)

Publisher

Springer-Verlag Berlin Heidelberg

Published

2011

Language

EN

ISBN

9783642268472

Category

nonfiction

Subjects

Engineering, Science, Computer Science