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Truss Sizing Optimization with a Diversity-Enhanced Cyclic Neighborhood Network Topology Particle Swarm Optimizer

Author

Listed:
  • Tae-Hyoung Kim

    (Department of Mechanical Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea)

  • Jung-In Byun

    (Department of Mechanical Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea)

Abstract

This study presents a reliable particle swarm optimizer for sizing optimization of truss structures. This population-based stochastic optimization approach is based on the principle that each particle communicates its position and function value to a number of successively numbered neighboring particles via a fixed cyclic interaction structure. Therefore, such a neighborhood structure changes the movement pattern of the entire swarm, and allows each particle’s movement not to be driven by one global best particle position, which enhances the diversification attitude. Further, by transforming the objective function, it is possible to steer the search towards feasible regions of design space. The efficiency of the proposed approach is demonstrated by solving four classical sizing optimization problems of truss structures.

Suggested Citation

  • Tae-Hyoung Kim & Jung-In Byun, 2020. "Truss Sizing Optimization with a Diversity-Enhanced Cyclic Neighborhood Network Topology Particle Swarm Optimizer," Mathematics, MDPI, vol. 8(7), pages 1-21, July.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:7:p:1087-:d:379929
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    References listed on IDEAS

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    1. Umberto Bartoccini & Arturo Carpi & Valentina Poggioni & Valentino Santucci, 2019. "Memes Evolution in a Memetic Variant of Particle Swarm Optimization," Mathematics, MDPI, vol. 7(5), pages 1-13, May.
    2. Mehmet Polat Saka & Zong Woo Geem, 2013. "Mathematical and Metaheuristic Applications in Design Optimization of Steel Frame Structures: An Extensive Review," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-33, February.
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