Modified sub-population teaching-learning-based optimization for design of truss structures with natural frequency constraints

• Ghanshyam G. Tejani ^[1] ; Vimal J. Savsani ^[1] ; Vivek K. Patel ^[1]
  1. [1] Pandit Deendayal Petroleum University

     Pandit Deendayal Petroleum University

     India

     
• Localización: Mechanics based design of structures and machines, ISSN 1539-7734, Vol. 44, Nº. 4, 2016, págs. 495-513
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • In this paper, a modified sub-population teaching-learning-based optimization (MS-TLBO) algorithm is proposed to improve the exploration and exploitation capacities by including the concept of number of teachers, adaptive teaching factor, learning through tutorial, and self-motivated learning in the basic TLBO algorithm. The multiple frequency responses to the structural optimization problems are challenging due to its search space, which is implicit, nonconvex, nonlinear, and often leading to divergence. The viability and efficiency of the proposed method are tested by five structural benchmark problems of shape and size optimization with multiple natural frequency constraints on the planar and space trusses. The results reveal that MS-TLBO is more effective as compared to the original TLBO and other state-of-the-art algorithms.