Abstract Gravitational Search Algorithm (GSA) is an optimization method inspired by the
theory of Newtonian gravity in physics. Till now, many variants of GSA have been …

Today, many metaheuristics algorithms have been developed are inspired by the physical
phenomena or behaviors of natural creatures that are very effective in solving complex …

In this paper, a simple and efficient nature inspired search method based on differential
search algorithm (DSA) has been presented and used for optimal power flow (OPF) problem …

An important objective of the Optimal Power Flow (OPF) problem is to minimize the
generation cost and keep the power outputs of generators, bus voltages, bus shunt …

This study presents a modified multi-objective evolutionary algorithm based decomposition
(MOEA/D) approach to solve the optimal power flow (OPF) problem with multiple and …

In an effort to reduce greenhouse gas emissions, experts are looking to substitute fossil fuel
energy with renewable energy for environmentally sustainable and emission free societies …

Abstract Optimal Power Flow (OPF) is a complex and challenging problem in power system
that includes non-convex and non-linear constrained optimization problems. Due to these …

In this paper, non dominated sorting multi objective opposition based gravitational search
algorithm (NSMOOGSA) has been proposed to solve different single and multi objective …

Optimal power flow (OPF) is one of the complex problems in power system operation that
includes multi-modal, large-scale, non-convex and non-linear constrained optimization …

Krill herd algorithm (KHA) is a novel meta-heuristic approach that is influenced from the
herding behaviour of the krill swarms searching for food or communication with each other …