The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …

In this paper, an adaptive Harris hawk optimization with persistent trigonometric (sine–
cosine)-differences (ADHHO) is proposed for parameter identification of Photovoltaic (PV) …

Deep excavation during the construction of underground systems can cause movement on
the ground, especially in soft clay layers. At high levels, excessive ground movements can …

Forecasting the price of agricultural produce helps grower decide planting, harvesting, and
trading time. Price forecasting of crops has garnered many researchers' attention, hence …

The restructuring of power systems and the ever-increasing demand for electricity have
given rise to congestion in power networks. The use of distributed generators (DGs) may …

Given the advancements in solar power generation and fifth‐generation (5G) technologies, it
is crucial to reduce energy consumption based on accurate predictions of the photovoltaic …

Most industrial batch processes exhibit significantly different characteristics at different
manufacturing steps, and it is advantageous to partition batch processes reasonably and …

With the development and improvement of optimization algorithms, machine learning
models have become more important in air quality prediction. These models can be used to …

As an area experiencing air pollution, especially ozone concentrations that often exceed the
threshold or are unhealthy, JABODETABEK (Jakarta, Bogor, Depok, Tangerang, and …

The purpose of this work was to compare the performance of 7 meta‐heuristics algorithms
namely: Dragonfly (DA), Ant Lion (ALO), Grey Wolf (GWO), Artificial Bee Colony (ABC) …