Evolutionary algorithm with individual-distribution search strategy and regression-classification surrogates for expensive optimization
Surrogate-assisted evolutionary algorithms (SAEAs) with prescreening model management
strategies show great potential in handling expensive optimization problems (EOPs) …
strategies show great potential in handling expensive optimization problems (EOPs) …
A novel surrogate-assisted evolutionary algorithm with an uncertainty grouping based infill criterion
For tackling expensive optimization problems (EOPs), surrogate-assisted evolutionary
algorithms (SAEAs) will run the evolutionary search and then select some promising …
algorithms (SAEAs) will run the evolutionary search and then select some promising …
Enhancing SAEAs with unevaluated solutions: a case study of relation model for expensive optimization
Surrogate-assisted evolutionary algorithms (SAEAs) hold significant importance in resolving
expensive optimization problems. Extensive efforts have been devoted to improving the …
expensive optimization problems. Extensive efforts have been devoted to improving the …
A radial basis function surrogate model assisted evolutionary algorithm for high-dimensional expensive optimization problems
Evolutionary algorithms require large number of function evaluations to locate the global
optimum, making it computationally prohibitive on dealing with expensive problems …
optimum, making it computationally prohibitive on dealing with expensive problems …
An ensemble surrogate-based coevolutionary algorithm for solving large-scale expensive optimization problems
Surrogate-assisted evolutionary algorithms (SAEAs) have shown promising performance for
solving expensive optimization problems (EOPs) whose true evaluations are …
solving expensive optimization problems (EOPs) whose true evaluations are …
Two-stage data-driven evolutionary optimization for high-dimensional expensive problems
Surrogate-assisted evolutionary algorithms (SAEAs) have been widely used for solving
complex and computationally expensive optimization problems. However, most of the …
complex and computationally expensive optimization problems. However, most of the …
Surrogate-assisted autoencoder-embedded evolutionary optimization algorithm to solve high-dimensional expensive problems
Surrogate-assisted evolutionary algorithms (EAs) have been intensively used to solve
computationally expensive problems with some success. However, traditional EAs are not …
computationally expensive problems with some success. However, traditional EAs are not …
Surrogate-assisted evolutionary algorithm with model and infill criterion auto-configuration
Surrogate-assisted evolutionary algorithms (SAEAs) have proven to be effective in solving
computationally expensive optimization problems (EOPs). However, the performance of …
computationally expensive optimization problems (EOPs). However, the performance of …
Two-layer adaptive surrogate-assisted evolutionary algorithm for high-dimensional computationally expensive problems
Surrogate-assisted evolutionary algorithms (SAEAs) have recently shown excellent ability in
solving computationally expensive optimization problems. However, with the increase of …
solving computationally expensive optimization problems. However, with the increase of …
Enhancing hierarchical surrogate-assisted evolutionary algorithm for high-dimensional expensive optimization via random projection
X Ren, D Guo, Z Ren, Y Liang, A Chen - Complex & Intelligent Systems, 2021 - Springer
By remarkably reducing real fitness evaluations, surrogate-assisted evolutionary algorithms
(SAEAs), especially hierarchical SAEAs, have been shown to be effective in solving …
(SAEAs), especially hierarchical SAEAs, have been shown to be effective in solving …
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