A critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization
L Wang, Y Yao, X Luo, CD Adenutsi, G Zhao, F Lai - Fuel, 2023 - Elsevier
Aiming to find the most suitable development schemes of conventional and unconventional
reservoirs for maximum energy supply or economic benefits, reservoir production …
reservoirs for maximum energy supply or economic benefits, reservoir production …
Training effective deep reinforcement learning agents for real-time life-cycle production optimization
Life-cycle production optimization aims to obtain the optimal well control scheme at each
time control step to maximize financial profit and hydrocarbon production. However …
time control step to maximize financial profit and hydrocarbon production. However …
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 …
Evolutionary optimization methods for high-dimensional expensive problems: A survey
Evolutionary computation is a rapidly evolving field and the related algorithms have been
successfully used to solve various real-world optimization problems. The past decade has …
successfully used to solve various real-world optimization problems. The past decade has …
Multi-level thresholding segmentation for pathological images: Optimal performance design of a new modified differential evolution
L Ren, D Zhao, X Zhao, W Chen, L Li, TS Wu… - Computers in Biology …, 2022 - Elsevier
The effective analytical processing of pathological images is crucial in promoting the
development of medical diagnostics. Based on this matter, in this research, a multi-level …
development of medical diagnostics. Based on this matter, in this research, a multi-level …
Multifidelity genetic transfer: an efficient framework for production optimization
Production optimization led by computing intelligence can greatly improve oilfield economic
effectiveness. However, it is confronted with huge computational challenge because of the …
effectiveness. However, it is confronted with huge computational challenge because of the …
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) …
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 …
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 …
A surrogate-assisted differential evolution for expensive constrained optimization problems involving mixed-integer variables
Abstract Many Surrogate-Assisted Evolutionary Algorithms (SAEAs) have been developed
for expensive constrained optimization problems (ECOPs) with continuous variables …
for expensive constrained optimization problems (ECOPs) with continuous variables …