The Moth flame optimization (MFO) algorithm belongs to the swarm intelligence family and is
applied to solve complex real-world optimization problems in numerous domains. MFO and …

Artificial intelligence based maximum power point tracking (MPPT) techniques play an
essential role in improving the efficiency of photovoltaic power conversion systems. Over the …

The Internet of Things (IoT) is a network of numerous devices that are consistent with one
another via the internet. Wireless sensor networks (WSN) play an integral part in the IoT …

The purpose of community detection in complex networks is to identify the structural location
of nodes. Complex network methods are usually graphical, with graph nodes representing …

A novel metaheuristic called Chaotic Marine Predators Algorithm (CMPA) is proposed and
investigated for the optimization of engineering problems. CMPA integrates the exploration …

Pulmonary hypertension (PH) is an uncommon yet severe condition characterized by
sustained elevation of blood pressure in the pulmonary arteries. The delaying treatment can …

Adjusting the search behaviors of swarm-based algorithms during their execution is a
fundamental errand for addressing real-world global optimizing challenges. Along this line …

This study suggests a new nature-inspired metaheuristic optimization algorithm called the
red-tailed hawk algorithm (RTH). As a predator, the red-tailed hawk has a hunting strategy …

Moth flame optimization (MFO) algorithm is a relatively new nature-inspired optimization
algorithm based on the moth's movement towards the moon. Premature convergence and …

The optimal power flow (OPF) is a practical problem in a power system with complex
characteristics such as a large number of control parameters and also multi-modal and non …