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Multi-objective Damage Identification Using Particle Swarm Optimization Techniques

  • Ricardo Perera
  • Sheng-En Fang
Part of the Studies in Computational Intelligence book series (SCI, volume 261)

Abstract

The implementation of a technique that is able to detect the real state of a structure in near real time constitutes a key research field for guaranteeing the integrity of a structure and, therefore, for safeguarding human lives. This chapter presents particle swarm optimization-based strategies for multiobjective structural damage identification. Different variations of the conventional PSO based on evolutionary concepts are implemented for detecting the damage of a structure in a multiobjective framework.

Keywords

Particle Swarm Optimization Pareto Front Multiobjective Optimization Particle Swarm Optimization Algorithm Damage Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Ricardo Perera
    • 1
  • Sheng-En Fang
    • 1
  1. 1.Department of Structural MechanicsTechnical UniversityMadridSpain

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