Topological optimization using particles swarm metaheuristic

Authors

  • Carlos Millán Páramo Universdad de Sucre
  • Euriel Millan Romero Universidad de Sucre

DOI:

https://doi.org/10.14482/inde.36.2.10127

Abstract

This work proposes the implementation of the PSO (Particle Swarm Optimization) metaheuristic to replace the optimality criterion used in the topology optimization method proposed by Andreassen. To evaluate and validate the PSO performance we studied three plane elasticity problems reported in the literature. Each problem was analyzed with three different finite element mesh types in order to compare the results obtained in terms of topology, strain energy value and average runtimes. It was established that the procedure involving the PSO, yields lower computational times in problems with more re?ne meshes. Finally, the material distribution and the energy values obtained were similar to those reported in the work of Andreassen giving validity to the work presented here.

Published

2018-06-30

How to Cite

[1]
C. Millán Páramo and E. Millan Romero, “Topological optimization using particles swarm metaheuristic”, Ing. y Des., vol. 36, no. 2, p. 343, Jun. 2018.