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Multiobjective evolutionary algorithms in aeronautical and aerospace engineering
Nowadays, the solution of multiobjective optimization problems in aeronautical and
aerospace engineering has become a standard practice. These two fields offer highly …
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
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 …
scientific journals, related to maintenance and reliability problems that were tackled from a …
Controller tuning using evolutionary multi-objective optimisation: current trends and applications
Control engineering problems are generally multi-objective problems; meaning that there
are several specifications and requirements that must be fulfilled. A traditional approach for …
are several specifications and requirements that must be fulfilled. A traditional approach for …
Pareto optimization of a five-degree of freedom vehicle vibration model using a multi-objective uniform-diversity genetic algorithm (MUGA)
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 …
diversity preserving mechanism called the ε-elimination algorithm is used for Pareto …
A new adjusting technique for PID type fuzzy logic controller using PSOSCALF optimization algorithm
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 …
improved version of PID-type fuzzy structure in order to determine its design parameters …
Reliability-based design of rock slopes—a new perspective on design robustness
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 …
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 …
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
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 …
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 …
algorithm (MUGA) for Pareto optimization of PI/PID controllers in Load Frequency Control …
[PDF][PDF] List of references on evolutionary multiobjective optimization
CAC Coello - URL< http://www. lania. mx/~ ccoello/EMOO …, 2010 - delta.cs.cinvestav.mx
List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …