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Geotechnical and Geological Engineering

, Volume 36, Issue 2, pp 705–722 | Cite as

Applications of Particle Swarm Optimization in Geotechnical Engineering: A Comprehensive Review

  • M. Hajihassani
  • D. Jahed ArmaghaniEmail author
  • R. Kalatehjari
State-of-the-Art Review

Abstract

Particle swarm optimization (PSO) is an evolutionary computation approach to solve nonlinear global optimization problems. The PSO idea was made based on simulation of a simplified social system, the graceful but unpredictable choreography of birds flock. This system is initialized with a population of random solutions that are updated during iterations. Over the last few years, PSO has been extensively applied in various geotechnical engineering aspects such as slope stability analysis, pile and foundation engineering, rock and soil mechanics, and tunneling and underground space design. A review on the literature shows that PSO has utilized more widely in geotechnical engineering compared with other civil engineering disciplines. This is due to comprehensive uncertainty and complexity of problems in geotechnical engineering which can be solved by using the PSO abilities in solving the complex and multi-dimensional problems. This paper provides a comprehensive review on the applicability, advantages and limitation of PSO in different disciplines of geotechnical engineering to provide an insight to an alternative and superior optimization method compared with the conventional optimization techniques for geotechnical engineers.

Keywords

Particle swarm optimization Geotechnical engineering Slope stability Tunneling Rock and soil mechanics 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • M. Hajihassani
    • 1
  • D. Jahed Armaghani
    • 2
    Email author
  • R. Kalatehjari
    • 3
  1. 1.Department of Mining Engineering, Faculty of EngineeringUrmia UniversityUrmiaIran
  2. 2.Department of Civil and Environmental EngineeringAmirkabir University of TechnologyTehranIran
  3. 3.Built Environment Engineering Department, School of Engineering, Computer and Mathematical SciencesAuckland University of TechnologyAucklandNew Zealand

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