Cloud computing is very popular because of its unique features such as scalability, elasticity,
on-demand service, and security. A large number of tasks are performed simultaneously in a …

This paper provides a comprehensive review of Appointment Scheduling (AS) in healthcare
service while we propose appointment scheduling problems and various applications and …

This paper proposes a novel nature-inspired optimization algorithm called the Fox optimizer
(FOX) which mimics the foraging behavior of foxes in nature when hunting preys. The …

Purpose The prediction of Airbnb listing prices predominantly uses a set of amenity-driven
features. Choosing an appropriate set of features from thousands of available amenity …

Optimization techniques are among the most promising methods to deal with real-world
problems, consisting of several objective functions and constraints. Over the decades, many …

Nowadays, with the rapid expansion of cloud computing technology in processing Internet of
Things (IoT) workloads, the demand for data centers has significantly increased, leading to a …

This paper presents a new quantum-behaved particle swarm optimization (QPSO) algorithm
for the trajectory planning task of mobile robotic vehicles in static and dynamic environments …

Machine learning and parallel processing are extremely commonly used to enhance
computing power to induce knowledge from an outsized volume of data. To deal with the …

Abstract Coyote Optimization Algorithm (COA) has demonstrated efficient performance by
utilizing the multiple pack (subpopulation) mechanism. However, the fixed number of packs …

Task scheduling and resource management are critical for improving system performance
and enhancing consumer satisfaction in distributed computing environments. The dynamic …