The paper presents a novel teaching–learning-based optimization (TLBO) algorithm, the
Gaussian bare-bones TLBO (GBTLBO) algorithm, with its modified version (MGBTLBO) for …

This paper reports extensive results obtained with the interior-point method (IPM) for
nonlinear programmes (NLPs) stemming from large-scale and severely constrained …

This study focuses on the application of Coulomb's and Franklin's laws algorithm (CFA) to
solving large-scale optimal reactive power dispatch (LS-ORPD) problems. The CFA …

This paper proposes a predictor–corrector primal–dual modified log-barrier interior–exterior
point method with global convergence and cubic fitting strategies for solving the Reactive …

Abstract The Network-Constrained Nonsmooth Economic Dispatch (NCNS-ED) is
formulated as a nonsmooth, nonconvex and multimodal optimization problem …

The aim of solving the Optimal Power Flow problem is to determine the optimal state of an
electric power transmission system, that is, the voltage magnitude and phase angles and the …

In this paper, we propose a predictor–corrector primal–dual approach for the doubly
modified logarithmic barrier function (M^ 2 BF M 2 BF) method in order to solve Optimal …

This paper proposes a technique for solving the multiobjective environmental/economic
dispatch problem using the weighted sum and ε ε-constraint strategies, which transform the …

This paper presents studies of cases in power systems by Sensitivity Analysis (SA) oriented
by Optimal Power Flow (OPF) problems in different operation scenarios. The studies of …

This work proposes an approach that uses a union of methods based on logarithmic barrier
function and modified logarithmic barrier function for the resolution of the reactive optimal …