The performance evaluation of a Photovoltaic (PV) system heavily relies on accurately
estimating the parameters based on its current—voltage relationships. However, due to the …

The exponential distribution optimizer (EDO) represents a heuristic approach, capitalizing
on exponential distribution theory to identify global solutions for complex optimization …

This research introduces a novel multi-objective adaptation of the Geometric Mean
Optimizer (GMO), termed the Multi-Objective Geometric Mean Optimizer (MOGMO). MOGMO …

This study addresses the optimal power flow (OPF) problem incorporating renewable energy
sources (RES) and flexible alternating current transmission systems (FACTS) using the …

This paper introduces a novel surrogate-assisted multi-objective nutcracker optimization
algorithm. This algorithm is built upon the recently proposed nutcracker optimization …

This research introduces the Multi-Objective Liver Cancer Algorithm (MOLCA), a novel
approach inspired by the growth and proliferation patterns of liver tumors. MOLCA emulates …

Millimeter wave (MMW) communication, noted for its merit of wide bandwidth and high-
speed transmission, is also a competitive implementation of the Internet of Everything (IoE) …

In the current landscape, there is a rapid increase in the creation of new algorithms
designed for specialized problem scenarios. The performance of these algorithms in …

This study proposes a two-step method for generating switching angles in renewable energy
systems that use multi-level inverters (MLIs) to reduce low-order harmonics. The Selective …

Due to the large-scale, multimodal, non-convex, and nonlinear characteristics of OPF,
mitigation of OPF problems in power transmission systems becomes a more complicated …