A5101791573- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Advanced materials and composites
- Additive Manufacturing Materials and Processes
- Microstructure and mechanical properties
- High Entropy Alloys Studies
- High-Temperature Coating Behaviors
- Scheduling and Optimization Algorithms
- Advanced Computational Techniques and Applications
- Artificial Immune Systems Applications
- Topology Optimization in Engineering
- Metallurgy and Material Forming
- Consumer Market Behavior and Pricing
- Digital Transformation in Industry
- Metal and Thin Film Mechanics
- Molecular Communication and Nanonetworks
- Stock Market Forecasting Methods
- Traditional Chinese Medicine Analysis
- Anomaly Detection Techniques and Applications
- Aluminum Alloys Composites Properties
- Phytochemistry and Biological Activities
- Metal Alloys Wear and Properties
- Ginseng Biological Effects and Applications
- Powder Metallurgy Techniques and Materials
- Forecasting Techniques and Applications
Chengdu University of Technology
2023
Chongqing University of Posts and Telecommunications
2023
China Academy of Engineering Physics
2020-2022
Science and Technology on Surface Physics and Chemistry Laboratory
2019-2022
Donghua University
2019-2021
A service optimization method for polyester fiber production process is proposed. According to the batch and specifications, considers cost as objective, uses data model determine specific parameters in process. First, two options overall of are introduced: on-demand manufacturing product development. Second, impact different request tasks on performance index each stage determined. Finally, measures batches By comparing similarity between current samples data, optimal plan formed....
In this paper, a new clustering algorithm is proposed based on cross clusters without using membership functions. light of the data transformation, spatial distribution changed while original dimension simultaneously maintained. Combining with performance index and visual technology, an explanation improvement classification model presented in accordance algorithm. This approach was evaluated UCR time series datasets, experiments showed that can improve not only accuracy fully convolutional...
This paper uses LSTM to conduct a prediction study on the PS dataset establish revenue maximization optimization model by limiting actual cost of category that fluctuates within 10% two adjacent days, using seven-day as objective function, and daily supplemental each decision variable. Taking unit profit category, ratio total cost, based cost-plus pricing, price an individual product for next seven days can be estimated corresponding so further estimate pricing basis decisions. The Monte...