[HTML][HTML] Cooperative coevolutionary surrogate ensemble-assisted differential evolution with efficient dual differential grouping for large-scale expensive optimization …

R Zhong, E Zhang, M Munetomo - Complex & Intelligent Systems, 2024 - Springer
This paper proposes a novel algorithm named surrogate ensemble assisted differential
evolution with efficient dual differential grouping (SEADECC-EDDG) to deal with large-scale …

Solving combined economic and emission dispatch problems using reinforcement learning-based adaptive differential evolution algorithm

W Luo, X Yu, Y Wei - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Nowadays, economic and environmental concerns in production have become increasingly
significant. To address these issues, the Combined Economic and Emission Dispatch …

Energy and economic comparison of five mixed-refrigerant natural gas liquefaction processes

MAM Pereira, LF Santos, JA Caballero… - Energy Conversion and …, 2022 - Elsevier
The demand for liquified natural gas grows as it is an energy resource that has more flexible
means of transport than non-liquefied natural gas, and is more eco-friendly than other fossil …

[HTML][HTML] Impact of liquefaction ratio and cold energy recovery on liquefied natural gas production

D Han, K Tak, J Park, KB Lee, JH Moon, U Lee - Applied Energy, 2023 - Elsevier
The partial liquefaction of natural gas (NG) is commonly conducted in the liquefied natural
gas (LNG) industry toward facilitating the use of non-liquefied gas for power generation and …

Constrained Probabilistic Pareto Dominance for Expensive Constrained Multiobjective Optimization Problems

Z Zhang, Y Wang, G Sun, T Pang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper proposes a new parameterless constraint-handling technique, named
constrained probabilistic Pareto dominance (CPPD), for expensive constrained …

Dual-stage and dual-population cooperative evolutionary algorithm for solving constrained multiobjective problems

W Luo, X Yu, GG Yen - Applied Soft Computing, 2024 - Elsevier
During the search process, the characteristics of the feasible regions encountered by the
population continually change in Constrained Multiobjective Optimization Problems …

Artificial intelligence-based surrogate modeling for computational cost-effective optimization of hydrogen liquefaction process

A Rehman, B Zhang, A Riaz, K Qadeer, S Min… - International Journal of …, 2024 - Elsevier
The chemical processes are inherently complex, and obtaining desired product quality and
high energy efficiency by optimizing the design variables is challenging. The progress in …

[HTML][HTML] Operation optimization of propane pre-cooled mixed refrigerant LNG Process: A novel integration of knowledge-based and constrained Bayesian optimization …

R Shady, SF Ahmed, AK Sleiti - Chemical Engineering Science, 2024 - Elsevier
Liquefied natural gas (LNG) technology, particularly the propane precooled mixed
refrigerant (C3MR) process, has demonstrated efficiency and emerged as a distinctive dual …

Model-optimization-guided neural network (MOGNN) applied to chemical processes

FMF Siqueira, L de Sousa Santos - Applied Soft Computing, 2024 - Elsevier
In this work, a Model-Optimization-guided Neural Network (MOGNN) is proposed to optimize
chemical processes. The model is trained with pre-selected process data, resulting from …

Simultaneous-Level Energy Management Optimization Considering Specific Urban Driving Cycles for PHEBs

Z Jin, X Sun, Y Cai, M Yao… - IEEE/ASME Transactions …, 2024 - ieeexplore.ieee.org
Hybrid electric vehicles, as an important means of vehicle development for new energy,
have received a lot of research in structure and control in the last decades. However, the …