In this work, a comprehensive review of the multi-objective grey wolf optimizer (MOGWO) is
provided. In multi-objective optimization (MO), more than one objective function must be …

This chapter first discusses inspirations, methematicam models, and an in-depth literature of
the recently proposed Grey Wolf Optimizer (GWO). Then, several experiments are conducted …

The revolution of IoT and its capabilities to serve various fields led to generating a large
amount of data for processing. Tasks that require an instant response, especially with …

In order to solve the problems of unbalanced load, slow convergence speed and low
utilization of virtual machine resources existing in the previous task scheduling optimization …

In cloud computing, varied demands are placed on the constantly changing resources. The
task scheduling place very vital role in cloud computing environments, this scheduling …

The advent of the cloud computing paradigm allowed multiple organizations to move,
compute, and host their applications in the cloud environment, enabling seamless access to …

In cloud computing infrastructure-based services, resource scheduling is still an open issue.
Normally resource scheduling involves multi-objective fulfillment but often developed as …

Aiming at the characteristics and existing problems of dynamic service resource scheduling
in cloud manufacturing (CMfg) environment, this paper studies the scheduling method of …

The traditional cloud computing task offloading algorithm consumes abundant energy in task
scheduling, which results in a longer average task waiting time. For this reason, a cloud …

The advent of the cloud computing paradigm has enabled innumerable organizations to
seamlessly migrate, compute, and host their applications within the cloud environment …