A5100398878- Matrix Theory and Algorithms
- Probabilistic and Robust Engineering Design
- Advanced Multi-Objective Optimization Algorithms
- Bone Tissue Engineering Materials
- Orthopedic Infections and Treatments
- Spectral Theory in Mathematical Physics
- Metabolomics and Mass Spectrometry Studies
- Optimization and Mathematical Programming
- Stability and Control of Uncertain Systems
- Orthopaedic implants and arthroplasty
- Advanced Topics in Algebra
- Optimal Experimental Design Methods
- Topology Optimization in Engineering
- Protein Interaction Studies and Fluorescence Analysis
- Advanced Banach Space Theory
- Computational Drug Discovery Methods
- Approximation Theory and Sequence Spaces
- Mathematical functions and polynomials
University of Science and Technology of China
2018-2024
China Pharmaceutical University
2017
South China Normal University
2016
To handle different types of many-objective optimization problems (MaOPs), evolutionary algorithms (MaOEAs) need to simultaneously maintain convergence and population diversity in the high-dimensional objective space. In order balance relationship between convergence, we introduce a Kernel matrix probability model called determinantal point processes (DPPs). Our MaOEA with DPPs (MaOEADPPs) is presented compared several state-of-the-art on various MaOPs numbers objectives. The experimental...
Abstract Treating bone infections and ensuring recovery is one of the major global problems facing modern orthopedics. Prolonged antibiotic use may increase risk antimicrobial resistance, inflammation caused by biofilms can obstruct tissue healing, making infection treatment even more challenging. The optimal strategy combines immune response modification to promote osteogenesis with effective bacterial removal that does not require long‐term use. A one‐step plasma immersion ion implantation...
This present study was designed to investigate the pharmacokinetic profiles and tissue distribution characteristics of clevidipine its primary metabolite H152/81 in rats following a single intravenous administration butyrate injectable emulsion. For this study, sensitive selective liquid chromatography-tandem mass spectrometry (LC-MS/MS) method established validated for simultaneous quantitation rat whole blood various tissues. A Hedera ODS-2 column with two gradient elution programs...
The invertibility and range closedness of the linear combinations a pair projectionsfor any scalars are investigated.
Many-objective optimization problems (MaOPs) have posed a great challenge to the traditional Pareto-based multi-objective evolutionary algorithms (MOEAs) balance convergence and diversity. To deal with this issue, we propose Modified Determinantal Point Process Sampling (MDPPS) select representatives from population. In order evaluate performance of our MDPPS, plugged MDPPS into Two Archive Algorithm in which archive diversity are updated by MDPPS. Finally, new two algorithm named TADPP is...
To handle different types of Many-Objective Optimization Problems (MaOPs), Evolutionary Algorithms (MaOEAs) need to simultaneously maintain convergence and population diversity in the high-dimensional objective space. In order balance relationship between convergence, we introduce a Kernel Matrix probability model called Determinantal Point Processes (DPPs). Our Algorithm with (MaOEADPPs) is presented compared several state-of-the-art algorithms on various MaOPs \textcolor{blue}{with numbers...