Energy shortage is one of the major concerns in today's world. As a consumer of electrical
energy, the electric railway system (ERS), due to trains, stations, and commercial users …

This paper presents a fuzzy based modified artificial bee colony (MABC) algorithm to solve
discrete optimal power flow (OPF) problem that has both discrete and continuous variables …

The proposed optimal energy management system balances the energy flows among the
energy consumption by accelerating trains, energy production from decelerating trains …

It has been more than five decades since optimum power flow (OPF) emerged as one of the
most famous and frequently used nonlinear optimization problems in power systems …

This paper proposes a multi-hive multi-objective bee algorithm (M 2 OBA) for optimal power
flow (OPF) in power systems. The proposed M 2 OBA extend original artificial bee colony …

This article deals with one of the best evolutionary algorithms that has been used to solve
the Optimal Power flow (OPF) problem. It basically consists from three operation steps …

The development of multi-input and multi-output (MIMO) systems increases significantly in
last few decade. One of the types of MIMO input that becomes popular is rocket system …

This paper presents an attempt to analyze the effect of multi-fuel and practical constraints on
economic load dispatch problem using a novel uniform distributed two-stage particle swarm …

There are a lot of challenges coming up for the transmission system in Europe. This is
mainly caused by tremendous increasing infeed from renewable energies in remote areas …

Stability of power system is one of the important keys to produce high reliability of power
system. The power system must maintain the stability under small or large disturbance …