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Group Search Optimization for Applications in Structural Design pp 97–159Cite as

Improvements and Applications of Group Search Optimizer in Structural Optimal Design

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

Abstract

This chapter introduces the improvement and application of swarm algorithm named Group Search Optimizer (GSO) in civil structure optimization design. GSO is a new and robust stochastic searching optimizer, as it is based on PS (produce and scrounger) model and the animal scanning mechanisms. An improved group search optimizer named IGSO was presented based on harmony search mechanism and GSO. The implementation of IGSO for different optimal purposes is presented in detail, including the application of IGSO to truss structure shape optimal design, to truss structure dynamic optimal design, to truss structure topology optimization design. Different truss structures are used to test the GSO and IGSO in structural shape optimization, dynamic optimization and topology optimization.

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Authors
  1. Lijuan Li
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  2. Feng Liu
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Li, L., Liu, F. (2011). Improvements and Applications of Group Search Optimizer in Structural Optimal Design. In: Group Search Optimization for Applications in Structural Design. Adaptation, Learning, and Optimization, vol 9. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20536-1_5

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  • DOI: https://doi.org/10.1007/978-3-642-20536-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20535-4

  • Online ISBN: 978-3-642-20536-1

  • eBook Packages: EngineeringEngineering (R0)

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