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

Multi-Objective Design using Sequential Quadratic programming & Weighted Sum approach. The purpose of this exercise is to design a cantilever cylindrical support column of minimum mass for a new water ...

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 ...

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), ...

In this paper, a modified sequential quadratic programming (SQP)-based model predictive control (MPC) algorithm is developed and implemented for power plant cycling applications. These applications ...

A nested method combining tabu search (TS) and sequential quadratic programming (SQP) for the mixed-integer nonlinear programming (MINLP) is proposed. It involves MINLP in a nested inner and outer ...

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 ...

Recently developed hybrid imperialistic competitive sequential quadratic programming (HIC-SQP) has been applied to optimize the stochastic behavior in terms of direct cost, overestimated cost and ...