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 …

Energy management of hybrid electric vehicles: A review of energy optimization of fuel cell hybrid power system based on genetic algorithm

X Lü, Y Wu, J Lian, Y Zhang, C Chen, P Wang… - Energy Conversion and …, 2020 - Elsevier
Under the background of current environmental pollution and serious shortage of fossil
energy, the development of electric vehicles driven by clean new energy is the key to solve …

A surrogate-assisted multi-objective evolutionary algorithm with dimension-reduction for production optimization

M Zhao, K Zhang, G Chen, X Zhao, C Yao… - Journal of Petroleum …, 2020 - Elsevier
Abstract Multi-objective optimization (MOO), which involves more than one conflicting
objective to be optimized simultaneously, is expected to provide efficient and …

Power distribution optimization of a fully active hybrid energy storage system configuration for vehicular applications

G Ren, J Wang, Y Li, G Zhang - Journal of Industrial Information Integration, 2023 - Elsevier
As an effective solution to limitations of vehicle-mounted single-battery energy storage
system, the super-capacitor (SC)/battery hybrid energy storage system (HESS) is a research …

A comprehensive review of modeling and optimization methods for ship energy systems

F Mylonopoulos, H Polinder, A Coraddu - IEEE Access, 2023 - ieeexplore.ieee.org
This paper presents a comprehensive literature review of the state-of-the art modeling and
optimization methods for the power and propulsion systems of ships. Modeling is a tool to …

Physics-informed data-driven modeling approach for commuting-oriented hybrid powertrain optimization

N Lei, H Zhang, R Li, J Yu, H Wang, Z Wang - Energy Conversion and …, 2024 - Elsevier
The physics-informed data-driven approach is instructive in powertrain modeling with high-
fidelity, which can be adopted for powertrain optimization to further improve vehicle …

Surrogate-assisted multi-objective optimization for control parameters of adjacent gearshift process with multiple clutches

P Dong, J Li, W Guo, J Lai, F Mao, K Wang, X Xu… - Control Engineering …, 2023 - Elsevier
The limited sensors in mass-produced automatic transmissions introduce a significant
challenge for performing gearshifts with multiple clutches. To tackle this challenge, this study …

Parameter Matching, Optimization, and Classification of Hybrid Electric Emergency Rescue Vehicles Based on Support Vector Machines

PK Agyeman, G Tan, FJ Alex, JF Valiev… - Energies, 2022 - mdpi.com
Based on the requisition for an ideal precise power source for a hybrid electric emergency
rescue vehicle (HE-ERV), we present an optimistic parameter matching and optimization …

Research progress on intelligent optimization techniques for energy-efficient design of ship hull forms

S Zhu, N Sun, S Lv, K Chen, W Fang, L Cao - Journal of Membrane …, 2024 - Springer
The design optimization of ship hull form based on hydrodynamics theory and simulation-
based design (SBD) technologies generally considers ship performance and energy …

A New Gradient-Accelerated Two-Stage Multiobjective Optimization Method for CO2-Alternating-Water Injection in an Oil Reservoir

S Liu, B Yuan, W Zhang - SPE Journal, 2024 - onepetro.org
Summary CO 2-water-alternating-gas (CO 2-WAG) is a reservoir development method that
can simultaneously enhance oil recovery and achieve CO 2 storage. However, improperly …