This paper proposes a novel algorithm named surrogate ensemble assisted differential
evolution with efficient dual differential grouping (SEADECC-EDDG) to deal with large-scale …

Nowadays, economic and environmental concerns in production have become increasingly
significant. To address these issues, the Combined Economic and Emission Dispatch …

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 …

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 …

This paper proposes a new parameterless constraint-handling technique, named
constrained probabilistic Pareto dominance (CPPD), for expensive constrained …

During the search process, the characteristics of the feasible regions encountered by the
population continually change in Constrained Multiobjective Optimization Problems …

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 …

Liquefied natural gas (LNG) technology, particularly the propane precooled mixed
refrigerant (C3MR) process, has demonstrated efficiency and emerged as a distinctive dual …

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 …

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 …