Over the past few decades, modeling, simulation, and optimization tools have received
attention for their ability to represent and improve complex systems. The use of …

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

In the context of modern industry, optimization emerges as one of the most powerful tools,
allowing decision-makers to allocate their resources more assertively and deal with complex …

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 …

This paper aims to further increase the reliability of optimal results by setting the simulation
conditions to be as close as possible to the real or actual operation to create a Cyber …

This article presents a new methodology for designing a robust, decentralized control
structure that considers stochastic parametric uncertainty and uses a multi-objective …

This paper aims to make a trade‐off between performance and robustness in stochastic
control systems with probabilistic uncertainties. For this purpose, we develop a surrogate …

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

The number of function evaluations in many industrial applications of simulation-based
optimization problems is strictly limited. Therefore, only little analytical information on …

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 …