Abstract A pillar of Industry 4.0, Simulation Optimization is a powerful tool used across
several fields, enabling system evaluation under varying conditions, facilitating performance …

Industrial and commercial buildings are significant energy consumers, worldwide,
emphasizing the need for effective control techniques to reduce power consumption. This …

This paper aims the development of a new reduced-cost algorithm for a multi-objective
robust transmitter placement under uncertainty. Toward this end, we propose a new hybrid …

Magnetic levitation systems are complex and nonlinear, requiring sophisticated control
methods to maintain the stability and position of the levitated object. This research presents …

Today, most manufacturing control systems are complex and expensive, so they are limited
to employ a small number of function evaluations for optimal design. Yet, looking for …

Abstract Cyber-Physical Systems (CPS) are integrations of computation and physical
processes. Physical processes are monitored and controlled by embedded computers and …

With every passing day, the demand for data traffic is increasing, and this urges the research
community not only to look for an alternating spectrum for communication but also urges …

A data-driven surrogate mimics the behavior of a black-box simulation model using selected
input-output data points. Highly nonlinear models challenge many surrogate techniques in …

One of the main technological and economic challenges for an engineer is designing high-
quality products in manufacturing processes. Most of these processes involve a large …

Integrating physical processes with computational components creates cyber‐physical
systems (CPS) that seamlessly interact between the physical and digital worlds. The cyber …