In this paper, a hybridization method based on Arithmetic optimization algorithm (AOA) and
Aquila optimizer (AO) solver namely, the AO-AOA is applied to solve the Optimal Power Flow …

Increasing optimizing criteria in modern power systems promotes the birth of many-objective
optimal power flow (Ma-OPF) problems in which more than three optimizing objective …

It is more and more challenging to obtain the global optimal power flow (OPF) information of
a whole system with the developing trend of power systems toward hierarchical partition …

This paper presents quantum interior-point methods (QIPMs) tailored to tackle the DC
optimal power flow (OPF) problem using noisy intermediate-scale quantum devices. The …

Combined heat and power economic dispatch (CHPED) based optimal power flow (OPF)
problem has been studied in this article using a new, practical approach based on chaotic …

Fast reactive power optimization policy-making for various operating scenarios is an
important part of power system dispatch. Existing reinforcement learning algorithms alleviate …

Nonlinear optimization (NOPT) is a meaningful tool for solving complex tasks in fields like
engineering, economics, and operations research, among others. However, NOPT has …

In this study, firstly, the balance between the exploration and exploitation capabilities of the
weighted mean of vectors (INFO) algorithm was developed using the fitness–distance …

The efficient handling of a significant number of discrete variables in large mixed integer non-
linear programming (MINLP) problems is challenging due to the combinatorial explosion …

This study measures a communication network's performance by constructing models for the
expected value. A comprehensive stochastic network model whose nodes and arcs are …