Title of article :
Improved sequential linear programming formulation for structural weight minimization Original Research Article
Author/Authors :
Luciano Lamberti، نويسنده , , Carmine Pappalettere، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2004
Abstract :
This paper presents an optimization algorithm for weight minimization of structures. The algorithm––denoted as LSTRLP (line search trust region linear programming)––combines sequential linear programming (SLP) and Trust region methods (TRM). LSTRLP solves a linearized sub-problem in each design cycle and accepts or rejects intermediate designs based on a line-search strategy which detects if the eventual improvement in cost is actually the largest possible. It is to be noticed that the present work is the closure to several studies carried out by the present authors in order to improve the overall efficiency and robustness of the sequential linear programming method.
Keywords :
Trust region , Line-search , Structural optimization , SLP
Journal title :
Computer Methods in Applied Mechanics and Engineering
Journal title :
Computer Methods in Applied Mechanics and Engineering