Metaheuristic optimization algorithms are tools based on mathematical concepts that are
used to solve complicated optimization issues. These algorithms are intended to locate or …

Generations from several sources in an electrical network are to be optimally scheduled for
economical and efficient operation of the network. Optimal power flow problem is formulated …

This paper presents the application of a novel algorithm, which is based on a modified Sine-
Cosine technique for solving the optimal power flow (OPF) problem. It is a highly coupled …

Finding a feasible solution set for optimization problems in conflict with objective functions
poses significant challenges. Moreover, in such problems, the level of complexity may …

This work presents a novel Moth Swarm Algorithm (MSA), inspired by the orientation of
moths towards moonlight to solve constrained Optimal Power Flow (OPF) problem. The …

Harris Hawks Optimization (HHO) algorithm is a new metaheuristic algorithm, inspired by the
cooperative behavior and chasing style of Harris' Hawks in nature called surprise pounce …

The supply-demand-based optimization (SDO) is among the recent stochastic approaches
that have proven its capability in solving challenging engineering tasks. Owing to the non …

The classical optimal power flow problem is usually formulated with only thermal generators,
in which the fuel used to generate power is limited and emissions from the network system …

Optimal power flow (OPF) is a highly non-linear complex optimization problem where the
steady state parameters of an electrical network need to be determined for its economical …

The optimal power flow (OPF) is a key tool in the planning and operation of power systems,
and aims to optimize the operational costs involved in the production and transport of energy …