H Li, Z Wang, C Lan, P Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, a novel dynamic multiobjective optimization algorithm (DMOA) is proposed based on a designed hierarchical response system (HRS). Named HRS-DMOA, the …
S Liu, Q Lin, J Li, KC Tan - IEEE Transactions on Evolutionary …, 2023 - ieeexplore.ieee.org
Recent decades have witnessed great advancements in multiobjective evolutionary algorithms (MOEAs) for multiobjective optimization problems (MOPs). However, these …
Dynamic multi-objective optimization problems (DMOPs) typically contain multiple conflicting objectives that vary over time, requiring the optimization algorithms to quickly track the …
K Yu, D Zhang, J Liang, B Qu, M Liu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Dynamic multiobjective optimization problems (DMOPs) are widely encountered in real- world applications and have received considerable attention in recent years. During the …
X Zhang, G Yu, Y Jin, F Qian - Information Sciences, 2023 - Elsevier
In handling dynamic multi-objective optimization problems (DMOPs), transfer learning driven methods have received considerable attention for finding a high-quality initial population …
Y Liu, J Liu, S Tan - Expert Systems with Applications, 2023 - Elsevier
In expensive optimization, function evaluations are based on expensive physical experiments or time consuming simulations. Moreover, the gradient for the objective is not …
Q Lin, Y Ye, L Ma, M Jiang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article suggests a new dynamic multiobjective evolutionary algorithm (DMOEA) with Knowledge Transfer and Maintenance, called KTM-DMOEA, which aims to alleviate the …
X Yan, H Zuo, C Hu, W Gong… - … System Modeling and …, 2023 - ieeexplore.ieee.org
A chip mounter is the core equipment in the production line of the surface-mount technology, which is responsible for finishing the mount operation. It is the most complex and time …
H Zhang, J Ding, L Feng, KC Tan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Dynamic environments pose great challenges for expensive optimization problems, as the objective functions of these problems change over time and thus require remarkable …