Metamodel-based simulation optimization: A systematic literature review
JVS do Amaral, JAB Montevechi… - … Modelling Practice and …, 2022 - Elsevier
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 …
attention for their ability to represent and improve complex systems. The use of …
Particle swarm optimization (PSO) tuning of PID control on DC motor
The use of DC motors is now common because of its advantages and has become an
important necessity in helping human activities. Generally, motor control is designed with …
important necessity in helping human activities. Generally, motor control is designed with …
Adaptive metamodeling simulation optimization: Insights, challenges, and perspectives
JVS do Amaral, JAB Montevechi… - Applied Soft …, 2024 - Elsevier
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 …
several fields, enabling system evaluation under varying conditions, facilitating performance …
Comparative study of metamodeling and sampling design for expensive and semi-expensive simulation models under uncertainty
A Parnianifard, AS Azfanizam, MKA Ariffin… - …, 2020 - journals.sagepub.com
In spite of the wide improvements in computer simulation packages, many complex
simulation models, particularly under uncertainty, may be inefficient to run in terms of time …
simulation models, particularly under uncertainty, may be inefficient to run in terms of time …
New PID parameter tuning based on improved dung beetle optimization algorithm
C Hu, F Wu, H Zou - The Canadian Journal of Chemical …, 2024 - Wiley Online Library
In this paper, a proportional‐integral‐derivative (PID) controller parameter optimization
method based on the improved dung beetle optimization (IDBO) algorithm is proposed …
method based on the improved dung beetle optimization (IDBO) algorithm is proposed …
Metamodeling-based simulation optimization in manufacturing problems: a comparative study
JVS do Amaral, R de Carvalho Miranda… - … International Journal of …, 2022 - Springer
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 …
allowing decision-makers to allocate their resources more assertively and deal with complex …
Robust optimal design of FOPID controller for five bar linkage robot in a Cyber-Physical System: A new simulation-optimization approach
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 …
conditions to be as close as possible to the real or actual operation to create a Cyber …
Robust tuning and sensitivity analysis of stochastic integer and fractional‐order PID control systems: application of surrogate‐based robust simulation‐optimization
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 …
control systems with probabilistic uncertainties. For this purpose, we develop a surrogate …
Convergence rates of the efficient global optimization algorithm for improving the design of analog circuits
Optimal sizing of analog circuits is a hard and time-consuming challenge. Nowadays,
analog designers are more than ever interested in developing solutions for automating such …
analog designers are more than ever interested in developing solutions for automating such …
Metamodel‐based robust simulation‐optimization assisted optimal design of multiloop integer and fractional‐order PID controller
A Parnianifard, AS Azfanizam - International Journal of …, 2020 - Wiley Online Library
Classical proportional‐integral‐derivative (PID) tuning methods such as Ziegler‐Nichols
simply increase robustness against disturbances that may arise from the load. Thus …
simply increase robustness against disturbances that may arise from the load. Thus …