A5102025437- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Assembly Line Balancing Optimization
- Elevator Systems and Control
- Carbon and Quantum Dots Applications
- Parallel Computing and Optimization Techniques
- Recycling and Waste Management Techniques
- Quantum Dots Synthesis And Properties
- Extraction and Separation Processes
- Smart Parking Systems Research
- Real-Time Systems Scheduling
- Industrial Automation and Control Systems
- Photonic Crystals and Applications
- Transportation Planning and Optimization
- Membrane Separation Technologies
- Human-Automation Interaction and Safety
- Microbial Fuel Cells and Bioremediation
- Distributed and Parallel Computing Systems
- Transportation and Mobility Innovations
- Membrane Separation and Gas Transport
- Advanced Battery Technologies Research
- Advancements in Battery Materials
Beijing University of Chemical Technology
2019-2023
Hubei University
2019
Tongji University
2016
State Key Laboratory of Pollution Control and Resource Reuse
2016
As an important part of Industry 4.0, a smart warehouse can offer tips and operational constraints for users. Improving its work efficiency is promising growth driver logistics companies retailers. Therefore, reinforcement-learning-based adaptive iterated local search (RAILS) approach proposed to improve order-picking warehouse. A batching algorithm deal with fluctuating orders efficiently quickly obtain high-quality initial solution. It speed up the near-optimal solutions by extracting...
This paper describes an integrated human–machine interactive bus transit scheduling system developed for the Beijing Public Transport Holdings (Group) Company, Ltd. (BPTG), one of largest companies in world. The system, which is based on a highly informative deficit function graphical optimization technique, allows schedulers to select computer-generated improvements or interject their own practical considerations. initial implementation new two subcompanies BPTG demonstrates its...
A dual-mode sensing platform, involving fluorescence and reflectance modes, has been demonstrated for highly sensitive selective detection of solvents metal ions based on carbon dot-based inverse opal hydrogels (CD-IOHs). In this work, CD-IOHs have first synthesized via the typical templating technique. Two kinds CDs, including solvent Cu(ii) ion incorporated into matrix IOHs during co-polymerization acrylic acid (AA) 2-hydroxyethyl methacrylate (HEMA). The not only appear green under...
In this paper, we first propose laxity-based strategy that prioritizes applications based on the laxity of meeting their deadlines. Application with least will have highest scheduling priority. Calculating application consume some computation time, which may not be practicable for online implementation. To overcome problem, further transferring deadline to its inside tasks, makes calculation easier. We also apply algorithm schedule multiple criticalities. Towards challenge reconciling timing...
An order batching and sequencing problem in a warehouse is studied this work. The proved to be an NP-hard problem. A mathematical programming model formulated describe it clearly. To minimize tardiness, improved iterated local search algorithm based on reinforcement learning proposed. operator selecting scheme, which aims automatically select combinations instead of simply performing all the operators each iteration, designed reduce computational cost greatly. Besides, adaptive perturbation...
The scheduling problem of a semiconductor production line with constrained waiting time is studied in this paper. This can be regarded as an expanded flexible job-shop problem, which often described by mixed integer nonlinear programming model. An improved cuckoo search algorithm proposed to minimize the weighted completion including penalty violation. In algorithm, we propose using onedimensional chaotic strategy make full use local space information. addition, introduce backtracking into...