Expensive optimization via surrogate-assisted and model-free evolutionary optimization
The surrogate-assisted evolutionary algorithm (SAEA) is one of the most efficient
approaches for solving expensive optimization problems. However, it still faces challenges …
approaches for solving expensive optimization problems. However, it still faces challenges …
An efficient surrogate-assisted hybrid optimization algorithm for expensive optimization problems
Surrogate-assisted evolutionary algorithms (SAEAs) are potential approaches to solve
computationally expensive optimization problems. The critical idea of SAEAs is to combine …
computationally expensive optimization problems. The critical idea of SAEAs is to combine …
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 …
Adaptive multi-surrogate and module-based optimization algorithm for high-dimensional and computationally expensive problems
M Wu, J Xu, L Wang, C Zhang, H Tang - Information Sciences, 2023 - Elsevier
Surrogate-assisted evolutionary algorithms (SAEAs) have been widely used for solving
computationally expensive optimization problems. However, the performance of SAEAs …
computationally expensive optimization problems. However, the performance of SAEAs …
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 …
A general framework of surrogate-assisted evolutionary algorithms for solving computationally expensive constrained optimization problems
The objective and constraints of expensive constrained optimization problems (ECOPs) are
often evaluated using simulations with different computational costs. However, the existing …
often evaluated using simulations with different computational costs. However, the existing …
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 …
Progressive sampling surrogate-assisted particle swarm optimization for large-scale expensive optimization
Surrogate-assisted evolutionary algorithms (SAEAs) have performed well on low-and
medium-scale expensive optimization problems (EOPs). However, with the dimensionality …
medium-scale expensive optimization problems (EOPs). However, with the dimensionality …
Data-driven evolutionary sampling optimization forexpensive problems
Z Huixiang, G Wenyin, W Ling - Journal of Systems …, 2021 - ieeexplore.ieee.org
Surrogate models have shown to be effective in assisting evolutionary algorithms (EAs) for
solving computationally expensive complex optimization problems. However, the …
solving computationally expensive complex optimization problems. However, the …
A review of surrogate-assisted evolutionary algorithms for expensive optimization problems
C He, Y Zhang, D Gong, X Ji - Expert Systems with Applications, 2023 - Elsevier
Many problems in real life can be seen as Expensive Optimization Problems (EOPs).
Compared with traditional optimization problems, the evaluation cost of candidate solutions …
Compared with traditional optimization problems, the evaluation cost of candidate solutions …