Abstract: Fuzzy two-phase evolutionary programming (FTPEP) is proposed in this paper based on augmented Lagrange multiplier for constrained optimization comparing to the lack of classic evolutionary ...

In this paper, a new augmented Lagrangian function with 4-piecewise linear NCP function is introduced for solving nonlinear programming problems with equality constrained and inequality constrained.

Abstract: In this paper we propose a class of jump-stabilized Lagrange multiplier methods for the finite-element solution of multidomain elliptic partial differential equations using ...

This project explores the dynamics of a ball placed on a wire shaped like a parabola, which rotates around its axis of symmetry at a constant angular velocity. The aim was to derive the equations of ...

The Lagrange multiplier method is an effective method for finding the extreme values of functions, which can solve some complex mathematical and engineering problems. The introduction of this method ...

Optimization is the process of finding the best result of a particular problem. Optimization methods are all those methods that are utilized to find the optimal/best result for that problem.