Two-stage surrogate assisted differential evolution for optimization of a non-circular drawing sequence
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Precision Engineering and Manufacturing"
DOI: 10.1007/s12541-017-0068-6
Abstract: In this work, a two-stage surrogate assisted optimization technique is proposed for optimizing a non-circular drawing (NCD) sequence. The objective function was introduced to minimize inhomogeneity of the effective strain distribution at the cross-sections of… read more here.
Keywords: stage surrogate; optimization; surrogate assisted; two stage ... See more keywords
Optimal U-shaped baffle square-duct heat exchanger through surrogate-assisted self-adaptive differential evolution with neighbourhood search and weighted exploitation-exploration
Sign Up to like & getrecommendations! Published in 2017 at "Applied Thermal Engineering"
DOI: 10.1016/j.applthermaleng.2017.02.100
Abstract: Abstract In this paper, surrogate-assisted optimisation of a U-shaped baffle square-duct heat exchanger (USBSD-HX) is proposed. A single-objective design problem is formulated to optimise the heat exchanger thermal performance and friction loss. Several surrogate models… read more here.
Keywords: surrogate assisted; heat exchanger; surrogate; shaped baffle ... See more keywords
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
A Surrogate-Assisted Approach for the Optimal Synthesis of Refinery Hydrogen Networks
Sign Up to like & getrecommendations! Published in 2019 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.9b03001
Abstract: This paper presents a surrogate-assisted methodology for the optimal synthesis of refinery hydrogen networks, which fully considers the impact of vapor–liquid equilibrium in the flash separation unit, to study the interactions between the varying K-values… read more here.
Keywords: hydrogen; surrogate assisted; hydrogen networks; optimal synthesis ... See more keywords
Determining Lennard-Jones Parameters Using Multiscale Target Data through Presampling-Enhanced, Surrogate-Assisted Global Optimization
Sign Up to like & getrecommendations! Published in 2023 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.2c01231
Abstract: Force field-based models are a Newtonian mechanics approximation of reality and are inherently noisy. Coupling models from different molecular scale domains (including single, gas-phase molecules up to multimolecule, condensed phase ensembles) is difficult, which is… read more here.
Keywords: target data; surrogate assisted; jones parameters; lennard jones ... See more keywords
A surrogate-assisted particle swarm optimization algorithm based on efficient global optimization for expensive black-box problems
Sign Up to like & getrecommendations! Published in 2019 at "Engineering Optimization"
DOI: 10.1080/0305215x.2018.1477940
Abstract: ABSTRACT Evolutionary algorithms cannot effectively handle computationally expensive problems because of the unaffordable computational cost brought by a large number of fitness evaluations. Therefore, surrogates are widely used to assist evolutionary algorithms in solving these… read more here.
Keywords: swarm optimization; particle swarm; optimization; surrogate assisted ... See more keywords
A Surrogate Assisted Quantum-Behaved Algorithm for Well Placement Optimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3145244
Abstract: The oil and gas industry faces difficulties in optimizing well placement problems. These problems are multimodal, non-convex, and discontinuous in nature. Various traditional and non-traditional optimization algorithms have been developed to resolve these difficulties. Nevertheless,… read more here.
Keywords: quantum behaved; optimization; assisted quantum; well placement ... See more keywords
Surrogate-Assisted Multi-Objective Evolutionary Optimization With Pareto Front Model-Based Local Search Method.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3186591
Abstract: Some local search methods have been incorporated into surrogate-assisted multi-objective evolutionary algorithms to accelerate the search toward the real Pareto front (PF). In this article, a PF model-based local search method is proposed to accelerate… read more here.
Keywords: surrogate assisted; search method; assisted multi; local search ... See more keywords
Engine Calibration With Surrogate-Assisted Bilevel Evolutionary Algorithm.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2023.3267454
Abstract: Engine calibration problems are black-box optimization problems which are evaluation costly and most of them are constrained in the objective space. In these problems, decision variables may have different impacts on objectives and constraints, which… read more here.
Keywords: surrogate assisted; engine calibration; calibration; level ... See more keywords
Semisupervised Approach to Surrogate-Assisted Multiobjective Kernel Intuitionistic Fuzzy Clustering Algorithm for Color Image Segmentation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2020.2973121
Abstract: Multiobjective evolutionary algorithms (MOEAs) are effective optimization methods. To improve the segmentation performance and time efficiency of MOEAs-based fuzzy clustering algorithms for color images, a semisupervised surrogate-assisted multiobjective kernel intuitionistic fuzzy clustering (S3MKIFC) algorithm is… read more here.
Keywords: kernel intuitionistic; fuzzy clustering; intuitionistic fuzzy; color ... See more keywords