Predictive maintenance is an essential aspect of microgrid operations as it enables
identifying potential equipment failures in advance, reducing downtime, and increasing the …

Electric power system applications are intricate optimization problems. Most literature
reviews focus on studying an electrical paradigm through different optimization techniques …

In recent years, distributed production scheduling problems receive much attention from
both scholars and practicers. Nevertheless, existing research on such problems commonly …

Accurate design of the power system stabilizer (PSS) models is a crucial issue due to their
significant impact on the stability of power system operation. However, identifying the …

A Plate–fin heat exchanger (PFHE) is a compact and efficient thermal device, whose
performance strongly depends on its structural design. However, the design optimization of …

Feature Selection (FS) is a special preprocessing step in Machine Learning (ML) that
reduces the number of unwanted features in datasets to increase the accuracy of ML …

The main problem of spare parts management is to maintain the minimal requirement of
stock keeping units kept. This research proposes a joint optimization model of multi-item …

This investigation apprised the electrical discharge machining of a MoSi2–SiC intermetallic
ceramic composite. Key sparking attributes encompassed current, pulse-on and off …

This study addresses the challenge of achieving optimal preventive maintenance within
power systems, aiming to balance reliability and costs effectively. The primary focus is on …

Abstract The Forensic-Based Investigation (FBI) algorithm is a novel metaheuristic algorithm.
Many researches have shown that FBI is a promising algorithm due to two specific …