Multiobjective evolutionary algorithms in aeronautical and aerospace engineering

A Arias-Montano, CAC Coello… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
Nowadays, the solution of multiobjective optimization problems in aeronautical and
aerospace engineering has become a standard practice. These two fields offer highly …

A review of the use of multicriteria and multi-objective models in maintenance and reliability

AT de Almeida, RJP Ferreira… - IMA Journal of …, 2015 - academic.oup.com
This article evaluates 186 papers, published between 1978 and 2013 in 16 representative
scientific journals, related to maintenance and reliability problems that were tackled from a …

Controller tuning using evolutionary multi-objective optimisation: current trends and applications

G Reynoso-Meza, X Blasco, J Sanchis… - Control Engineering …, 2014 - Elsevier
Control engineering problems are generally multi-objective problems; meaning that there
are several specifications and requirements that must be fulfilled. A traditional approach for …

A new adjusting technique for PID type fuzzy logic controller using PSOSCALF optimization algorithm

EY Bejarbaneh, A Bagheri, BY Bejarbaneh… - Applied Soft …, 2019 - Elsevier
The main aim of this work consists of proposing a new three-step adjusting approach for an
improved version of PID-type fuzzy structure in order to determine its design parameters …

Pareto optimization of a five-degree of freedom vehicle vibration model using a multi-objective uniform-diversity genetic algorithm (MUGA)

N Nariman-Zadeh, M Salehpour, A Jamali… - … Applications of Artificial …, 2010 - Elsevier
In this paper, a new multi-objective uniform-diversity genetic algorithm (MUGA) with a
diversity preserving mechanism called the ε-elimination algorithm is used for Pareto …

Reliability-based design of rock slopes—a new perspective on design robustness

L Wang, JH Hwang, CH Juang, S Atamturktur - Engineering Geology, 2013 - Elsevier
Traditional reliability-based rock slope designs, in which the lowest-cost design is selected
from all designs meeting target reliability requirements, are often sensitive to variations in …

The comparison of multi-objective particle swarm optimization and NSGA II algorithm: applications in centrifugal pumps

A Nourbakhsh, H Safikhani… - Engineering …, 2011 - Taylor & Francis
In the present study, multi-objective optimization of centrifugal pumps is performed in three
steps. In the first step, efficiency (η) and the required net positive suction head (NPSHr) in a …

Pareto optimal robust design of fractional-order PID controllers for systems with probabilistic uncertainties

A Hajiloo, N Nariman-Zadeh, A Moeini - Mechatronics, 2012 - Elsevier
In this paper, a multi-objective optimization approach is used for Pareto optimum design of
robust integer-order and fractional-order PID controllers for both integer-order and fractional …

Pareto design of Load Frequency Control for interconnected power systems based on multi-objective uniform diversity genetic algorithm (MUGA)

E Nikmanesh, O Hariri, H Shams… - International Journal of …, 2016 - Elsevier
In this study, it is tried to employ a state-of-the-art multi-objective uniform-diversity genetic
algorithm (MUGA) for Pareto optimization of PI/PID controllers in Load Frequency Control …

Probability based survey of braking system: a pareto-optimal approach

A Karamoozian, H Jiang, CA Tan - IEEE Access, 2020 - ieeexplore.ieee.org
Active brake control systems are able to use more accurate control designs on the real-time
knowledge of wheel slip such as tire braking forces and external momentums. A multi …