Gravitational Search Algorithm (GSA) is one of the recent nature inspired algorithms which is
capable to solve optimization problems. GSA is inspired by the Newtonian's law of gravity …

Optimal power flow (OPF) is one of the challenging optimization problems in power domain.
The complexity of the problem escalates with incorporation of uncertain and intermittent …

Optimal power flow (OPF) is one of the most fundamental single/multi-objective, nonlinear,
and non-convex optimization problems in modern power systems. Renewable energy …

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 work proposes a full AC optimal power flow (ACOPF) model considering variable
impedance-based flexible AC transmission system (FACTS) devices, in which the reactance …

The present work focuses on the optimal path planning of humanoid robots in a rugged
terrain using a hybrid-based improved gravitational search algorithm (IGSA) tuned with a …

Optimal power flow (OPF) is one of the complex optimization problems in the power system
domain. The OPF problem becomes much more challenging when renewable energy …

In the paper, a hybrid method based two-degree of freedom (2-DOF) PID controller is
proposed for tuning the time delay system. The hybrid technique is the combination of fuzzy …

In this study, the optimal power flow (OPF) problem including flexible AC transmission
systems (FACTS) devices, ever increasing in the planning and operating of the modern …

This study presents an advanced methodology for maximizing the performance of Thyristor-
Controlled Phase Shifters (TCPS) in order to enhance power transfer capacity within …