A comprehensive survey on NSGA-II for multi-objective optimization and applications
H Ma, Y Zhang, S Sun, T Liu, Y Shan - Artificial Intelligence Review, 2023 - Springer
In the last two decades, the fast and elitist non-dominated sorting genetic algorithm (NSGA-
II) has attracted extensive research interests, and it is still one of the hottest research …
II) has attracted extensive research interests, and it is still one of the hottest research …
Experimental investigation and multi-objective optimization of fracture properties of asphalt mixtures containing nano-calcium carbonate
AG Mahani, P Bazoobandi, SM Hosseinian… - Construction and Building …, 2021 - Elsevier
The low temperature fracture is one of the most important challenges in asphalt mixtures,
which, if not paid, will lead to high maintenance costs. Therefore, researchers are looking for …
which, if not paid, will lead to high maintenance costs. Therefore, researchers are looking for …
Prediction and pareto-based multi-objective optimization of moisture and fatigue damages of asphalt mixtures modified with nano hydrated lime
Moisture sensitivity can lead to damages due to adhesion and cohesion in asphalt mixtures
that cause serious damages to the pavement. Adhesion between bitumen and aggregate is …
that cause serious damages to the pavement. Adhesion between bitumen and aggregate is …
Multi-objective optimization for ride comfort of hydro-pneumatic suspension vehicles with mechanical elastic wheel
Y Zhao, H Xu, Y Deng, Q Wang - Proceedings of the …, 2019 - journals.sagepub.com
The new mechanical elastic wheel has the following advantages: non-pneumatic, anti-
puncture, and explosion-proof. However, the larger radial stiffness is detrimental to vehicle …
puncture, and explosion-proof. However, the larger radial stiffness is detrimental to vehicle …
Structure-material integrated multi-objective lightweight design of the front end structure of automobile body
F Xiong, D Wang, Z Ma, S Chen, T Lv, F Lu - Structural and …, 2018 - Springer
This paper proposes a hybrid method combining the Contribution Analysis Method, the
Radial Basis Function Neutral Network (RBFNN)-Response Surface Method (RSM) hybrid …
Radial Basis Function Neutral Network (RBFNN)-Response Surface Method (RSM) hybrid …
Multi-objective optimization for free vibration of L-shaped bi-functionally graded sandwich plates using an effective finite element method and non-dominated sorting …
Free vibration analysis and multi-objective optimization for L-shaped bi-functionally graded
sandwich (L-BFGSW) plates are studied in this work. The L-BFGSW plates are made of three …
sandwich (L-BFGSW) plates are studied in this work. The L-BFGSW plates are made of three …
A hybrid multi-objective optimization method based on NSGA-II algorithm and entropy weighted TOPSIS for lightweight design of dump truck carriage
R Jiang, S Ci, D Liu, X Cheng, Z Pan - Machines, 2021 - mdpi.com
The lightweight design of vehicle components is regarded as a complex optimization
problem, which usually needs to achieve two or more optimization objectives. It can be firstly …
problem, which usually needs to achieve two or more optimization objectives. It can be firstly …
Surrogate-assisted multiobjective optimization of a hydraulically fractured well in a naturally fractured shale reservoir with geological uncertainty
Hydraulic fracturing is the most widely used technology for the commercial exploitation of
shale-gas reservoirs, yet still faces high cost and development risk caused by many …
shale-gas reservoirs, yet still faces high cost and development risk caused by many …
Multi-objective optimization of the active constrained layer damping for smart damping treatment in magneto-electro-elastic plate structures
KD Ly, T Nguyen-Thoi, TT Truong… - International Journal of …, 2022 - Springer
A multi-objective optimization approach for optimal smart damping treatment of functionally
graded magneto-electro-elastic plate (FGMEE) structures is investigated in the present …
graded magneto-electro-elastic plate (FGMEE) structures is investigated in the present …
Evaluation of machine tools with position-dependent milling stability based on Kriging model
C Deng, J Miao, B Wei, Y Feng, Y Zhao - International Journal of Machine …, 2018 - Elsevier
Abstract Machine tool's milling stability is a function of the frequency response function (FRF)
at the tool tip, which varies with the position changes of the moving components within the …
at the tool tip, which varies with the position changes of the moving components within the …