A Kriging-assisted multiobjective evolutionary algorithm
A surrogate-assisted (SA) evolutionary algorithm for Multiobjective Optimization Problems
(MOOPs) is presented as a contribution to Soft Computing (SC) in Artificial Intelligence (AI) …
(MOOPs) is presented as a contribution to Soft Computing (SC) in Artificial Intelligence (AI) …
Aerodynamic shape optimization of a gas turbine engine air-delivery duct
K Marchlewski, Ł Łaniewski-Wołłk… - Journal of Aerospace …, 2020 - ascelibrary.org
We discuss a methodology for multiobjective optimization of the U-shaped air-delivery duct,
which is a part of a turboprop engine intake system. The methodology combines and …
which is a part of a turboprop engine intake system. The methodology combines and …
Comparison between Pure and Surrogate-assisted Evolutionary Algorithms for Multiobjective Optimization
E Benini, G Venturelli… - Fuzzy System and Data …, 2016 - ebooks.iospress.nl
In this paper, a comparison between a “pure” genetic algorithm (GeDEA-II) and a surrogate-
assisted algorithm (ASEMOO) is carried out using up-to-date multiobjective and …
assisted algorithm (ASEMOO) is carried out using up-to-date multiobjective and …