Group Search Optimization for Applications in Structural Design

  • Lijuan Li
  • Feng Liu

Part of the Adaptation, Learning, and Optimization book series (ALO, volume 9)

About this book


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 the authors’ latest research work related with particle swarm optimizer algorithm and group search optimizer algorithm as well as their application to structural optimal design. The readers can understand the full spectrum of the algorithms and apply the algorithms to their own research problems.



Group Search Algorithm Intelligent Algorithm Optimal Design Particle Swarm Algorithm Structures

Authors and affiliations

  • Lijuan Li
    • 1
  • Feng Liu
    • 2
  1. 1.Faculty of Civil and Transportation EngineeringGuangdong University of Technology GuangzhouChina
  2. 2.Faculty of Civil and Transportation Engineering Guangdong University of TechnologyGuangzhouChina

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-20535-4
  • Online ISBN 978-3-642-20536-1
  • Series Print ISSN 1867-4534
  • Series Online ISSN 1867-4542
  • Buy this book on publisher's site
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