Move limits definition in structural optimization with sequential ...
Mar 1, 2003 · A new SLP algorithm called LESLP was tested in 20 weight minimisation problems of truss structures and four non-truss problems ranging from mathematical programming …
Successive linear programming - Wikipedia
Successive Linear Programming (SLP), also known as Sequential Linear Programming, is an optimization technique for approximately solving nonlinear optimization problems. [1] It is …
A sequential linear programming approach for truss …
Feb 18, 2025 · Numerical examples demonstrate that for stress-constrained truss optimization problem with the lower bound of cross-sectional area as 0, the proposed algorithm can directly …
Comparison of the numerical efficiency of different sequential linear ...
Jul 30, 2000 · Two different approaches (CGML and LEAML) for the definition of the move limits in Sequential Linear Programming are described and compared in terms of numerical …
slp_sqp - File Exchange - MATLAB Central - MathWorks
Oct 11, 2020 · Solve constrained, nonlinear, parameter optimization problems using sequential linear programming with trust region strategy (slp_trust), sequential quadratic programming …
Numerical approaches for optimization problems can be analogous to the numerical techniques, such as Lunge-Kutta method and Simpson rule, for mathematical solutions of differentiation …
Numerical examples demonstrate the effectiveness of the proposed approach on sparse data set and its robustness with respect to the existence of noise and outliers in the data set. Classical …
In the aim of leveraging the advantages of LP while retaining the accuracy of NLP interior-point methods (IPMs), this paper pro-poses a sequential linear programming (SLP) approach …
Sequential linear programming and sequential quadratic programming (SQP), for example, are two Lagrangian approaches that have proven to be quite effective. SQP
[2211.04109] A sequential linear programming (SLP) approach …
Nov 8, 2022 · In this article, an efficient sequential linear programming algorithm (SLP) for uncertainty analysis-based data-driven computational mechanics (UA-DDCM) is presented.