A SQP algorithm implementation for solving nonlinear constrained optimization problems - Releases · spiroskou/Sequential-Quadratic-Programming-method-Implementation-in-Matlab ...

This article proposes a centralized and distributed model based on nonlinear programming (NLP) for optimal power flow (OPF) analysis in power distribution networks, solved with the Sequential ...

This paper presents a feedrate optimization for spline toolpaths, performed via two steps: Linear Programming (LP) to obtain a fast and approximate solution followed by Sequential Quadratic ...

ABSTRACT: This study presents a hybrid algorithm obtained by combining a genetic algorithm (GA) with successive quadratic sequential programming (SQP), namely GA-SQP. GA is the main optimizer, whereas ...

Jérôme Bolte, Edouard Pauwels, Majorization-Minimization Procedures and Convergence of SQP Methods for Semi-Algebraic and Tame Programs, Mathematics of Operations Research, Vol. 41, No. 2 (May 2016), ...

Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained optimization problems with smooth nonlinear functions in the objective and constraints. Here we ...