The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …

In this study, we propose a new hybrid algorithm fusing the exploitation ability of the particle
swarm optimization (PSO) with the exploration ability of the grey wolf optimizer (GWO). Our …

Monkey king evolution (MKE) is a population-based differential evolutionary algorithm in
which the single evolution strategy and the control parameter affect the convergence and the …

Cloud infrastructures are suitable environments for processing large scientific workflows.
Nowadays, new challenges are emerging in the field of optimizing workflows such that it can …

Rapid growth in the domain of Internet of Things (IoT) leads to massive deployment of
sensors and therefore the need to develop automatically reconfigurable complex wireless …

One of the important problems in heterogeneous computing systems is task scheduling. The
task scheduling problem intends to assigns tasks to a number of processors in a manner that …

This paper presents reliability, availability, and maintainability (RAM) analysis framework for
evaluating the performance of a circulation system of water (WCS) used in a coal-fired …

Over the past decades, optimization in operations management has grown ever more
popular not only in the academic literature but also in practice. However, the problems have …

To handle scheduling of tasks on heterogeneous systems, an algorithm is proposed to
reduce execution time while allowing for maximum parallelization. The algorithm is based …

Software‐defined networking (SDN) has emerged as an evolving technique in wireless
sensor networks (WSNs). SDN enables WSNs with programmable control to manage …