Over the past half-century, Optimal Power Flow (OPF) has become one of the most important
and widely studied nonlinear optimization problems. In general, OPF seeks to optimize the …

An enhanced multi-objective Quasi-Reflected Jellyfish Search Optimizer (MOQRJFS) is
presented in this article for solving multi-dimensional Optimal Power Flow (MDOPF) issue …

In this paper a new nature-inspired metaheuristic algorithm is proposed to solve the optimal
power flow problem in a power system. This algorithm is inspired by the black hole …

An improved strength Pareto evolutionary algorithm is proposed to solve the multi-objective
optimal power flow problem. The fuel cost and emission are considered as two objective …

This paper presents an adaptive group search optimization (AGSO) algorithm for solving
optimal power flow (OPF) problem. In this study, different aspects of the OPF problem are …

In this paper, a modified teaching–learning based optimization algorithm is analyzed to
solve the multi-objective optimal power flow problem considering the total fuel cost and total …

Abstract Incremental Artificial Bee Colony algorithm with Local Search (IABC-LS) is one of
efficient variant of artificial bee colony optimization which was successfully applied to …

This study introduces a novel meta-heuristic optimization algorithm known as quasi-
oppositional modified Jaya (QOMJaya) to solve different multi-objective optimal power flow …

As increasing demand of electric energy and deterioration of environment pollution in
global, economic emission dispatch (EED) problem has become one of the most important …

In this paper, an effective and reliable algorithm, based on Shuffle Frog Leaping Algorithm
(SFLA) and Simulated Annealing (SA) is proposed for solving the optimal power flow (OPF) …