Physical insight into axisymmetric scramjet intake design via multi-objective design optimization using surrogate-assisted evolutionary algorithms
Sign Up to like & getrecommendations! Published in 2021 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2021.106676
Abstract: Abstract Scramjet engines are a hypersonic airbreathing technology that offers a potential for economical and flexible space transportation in lieu of traditional rocket-based systems. Accurate prediction of inviscid flowfields is of particular importance for high-performance… read more here.
Keywords: surrogate assisted; design; multi objective; scramjet ... See more keywords
Surrogate-assisted evolutionary algorithm with dimensionality reduction method for water flooding production optimization
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2019.106633
Abstract: Abstract The objective of oil reservoir production optimization is finding optimal scheme of each well to maximize the net present value (NPV) or the hydrocarbon production. Various optimization methods have been proposed to address production… read more here.
Keywords: production; surrogate assisted; dimensionality; production optimization ... See more keywords
Multilayer Perceptron Grouping and Sparse Gaussian Process-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Multiobjective Optimization.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2025.3634364
Abstract: Gaussian processes (GPs) have attracted considerable attention in assisting evolutionary algorithms (EAs) to solve computationally expensive optimization problems (EOPs) because they can directly provide information about the uncertainty of their predictions. However, the computational complexity… read more here.
Keywords: assisted evolutionary; evolutionary algorithm; expensive multiobjective; optimization ... See more keywords
A Supervised Surrogate-Assisted Evolutionary Algorithm for Complex Optimization Problems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3261905
Abstract: Surrogate-assisted evolutionary algorithms (SAEAs), which use surrogate models to evaluate the individuals’ fitness, show high efficiency in solving complex optimization problems. In an SAEA, the solution quality and algorithm efficiency are the two most concerned… read more here.
Keywords: complex optimization; surrogate assisted; algorithm; optimization problems ... See more keywords
A Two-Phase Kriging-Assisted Evolutionary Algorithm for Expensive Constrained Multiobjective Optimization Problems
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2024.3383219
Abstract: This article devises a two-phase Kriging-assisted evolutionary algorithm (named TEA) to tackle expensive constrained multiobjective optimization problems (CMOPs). In the first phase, only objectives are considered, which can help the population to cross infeasible obstacles… read more here.
Keywords: first phase; assisted evolutionary; kriging assisted; two phase ... See more keywords
Probability Selection-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app152111404
Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) have emerged as a powerful class of optimization methods that utilize surrogate models to address expensive optimization problems (EOPs), where fitness evaluations (FEs) are expensive or limited. By leveraging previously evaluated… read more here.
Keywords: assisted evolutionary; surrogate; expensive optimization; selection ... See more keywords