The fog computing paradigm is promising for deploying various delay-sensitive Internet of
Things (IoT) applications. The resource-constrained fog devices restrict the number of …

Metaheuristic algorithms have gradually become the mainstream way to solve complex
optimization problems with their streamlined structure and robust performance. Innovative …

Fog computing is a promising computing paradigm for the processing and storage of
massive data generated by Internet of Things (IoT) devices. Fog computing devices have …

This paper presents a novelty energy management model embedded with differentiated
charging management strategies for optimal scheduling of the microgrid (MG), including …

Introducing thermal energy storage (TES) and solar energy effectively reduces fossil fuel
consumption and greenhouse gas emissions in combined cooling, heating, and power …

In this study, a phased operation optimization method for active distribution network with
energy storage system is proposed for the operation optimization problem of active …

Evolutionary Algorithms (EA) have proven successful in solving Multi-and Many-objective
Optimization Problems (MOPs/MaOPs) in numerous application areas. However, the various …

As an emerging computing paradigm, fog computing provides more available computing
resources for Internet of Things (IoT) users in an efficient and timely manner. However, the …

To guarantee the integrity of cloud data, plenty of cloud storage auditing schemes are
proposed. In cloud storage, when a company is purchased by another company, the …

In this paper, we study secure computing migration scenarios in uncertain environments with
the presence of multiple malicious eavesdroppers (MEs). Specifically, when edge servers …