Sujin Bureerat. Comparative performance of evolutionary algorithms on simultaneous topology, shape and sizing optimization of a truss tower. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2010.
Comparative performance of evolutionary algorithms on simultaneous topology, shape and sizing optimization of a truss tower
Abstract:
This paper presents an integrated design technique to carry out simultaneous topology, shape and sizing optimization of a three-dimensional truss structure. An optimization problem is set to find structural layout, shape, and truss bars cross-sections such that multiple objective functions including mass, compliance, natural frequencies, frequency response function (FRF), and force transmissibility (FT)
are optimised. The Pareto optimal solutions of design testing problems are explored by using two multiobjective evolutionary algorithms (MOEAs) namely strength Pareto evolutionary algorithm (SPEA) and population-based incremental learning (PBIL). The results obtained from using the two optimizers are illustrated and compared. Based upon the hypervolume performance indicator, it is shown that PBIL is superior to SPEA when optimizing compliance and natural frequency, while the latter is superior when dealing with FRF and FT.
King Mongkut's University of Technology North Bangkok. Central Library