A5012940916- Advanced Manufacturing and Logistics Optimization
- Metaheuristic Optimization Algorithms Research
- Scheduling and Optimization Algorithms
- Vehicle Routing Optimization Methods
- Transportation and Mobility Innovations
- Advanced Control Systems Optimization
- Optimization and Packing Problems
- Evaluation and Optimization Models
- Heavy metals in environment
- Electric Vehicles and Infrastructure
- Sustainable Supply Chain Management
- Energy, Environment, and Transportation Policies
- Radiomics and Machine Learning in Medical Imaging
- Neural Networks and Applications
- Advanced Multi-Objective Optimization Algorithms
- Supply Chain and Inventory Management
- Quality and Supply Management
- AI in cancer detection
- Sharing Economy and Platforms
- Magnetic Field Sensors Techniques
- Evacuation and Crowd Dynamics
- Food Supply Chain Traceability
- Neural Networks and Reservoir Computing
- Artificial Immune Systems Applications
- Microbial Applications in Construction Materials
Wuhan University of Science and Technology
2011-2025
Research Center for Eco-Environmental Sciences
2023-2024
Chinese Academy of Sciences
2023-2024
Wanfang Data (China)
2024
Huazhong University of Science and Technology
2024
University of Chinese Academy of Sciences
2023
Unmanned aerial vehicles (UAVs) are increasingly used in instant delivery scenarios. The combined of and UAVs has many advantages compared to their respective separate delivery, which can greatly improve efficiency. Although a few studies the literature have explored issue vehicle-assisted UAV we did not find any on scenario an serving several customers. This study aims design new solution that allows serve multiple customers single take-off takes energy consumption into account. A multi-UAV...
Motivated by the increasing environmental concerns about used electric vehicle batteries in China, an manufacturer’s battery recycling strategy under government subsidy was studied. A consumer utility function to capture awareness associated with and game-theoretical approach applied analyze interaction between manufacturer. It found that, exogenous subsidy, manufacturer either recycles all batteries, or it does not recycle any if impact of scale on costs is unremarkable; otherwise, some...
Recently, a novel population-based optimisation algorithm, namely firefly algorithm (FA), which mimics the flashing and attraction behaviour of fireflies, has shown promising performance in solving global problems. However, preliminary studies have that FA often gets stuck local optima. In this paper, we investigate reasons why suffers from getting optima; then propose an improved (IFA). These improvements are twofold: first, sigmoid-based attractiveness is employed to reformulate its...
Steelmaking-refining-Continuous Casting (SCC) is a key process in iron and steel production. SCC scheduling to determine an optimal schedule for the process, which worldwide important problem. High-quality methods will help allocate production resources effectively increase productivity. However, dynamic events (e.g. machine breakdown) may happen realistic make inexecutable or not optimal. In this case, rescheduling essential order obtain new suitable current environments. The can be modeled...
Abstract Pharmaceutical distribution routing problem is a key for pharmaceutical enterprises, since efficient schedules can enhance resource utilization and reduce operating costs. Meanwhile, it complicated combinatorial optimization problem. Existing research mainly focused on delivery route lengths or costs minimization, while seldom considered customer priority carbon emissions simultaneously. However, considering the simultaneously will not only help to satisfaction, but also emissions....
This paper deals with a new joint replenishment problem, in which number of non-instantaneous deteriorating items are replenished from several suppliers under different quantity discounts schemes. Involving both decisions and supplier selection makes the problem to be NP-hard. In particular, consideration deterioration it more challenging handle. We first construct mathematical model integrated system program for formulate problem. Then we develop novel swarm intelligence optimization...
Tunnel magnetoresistance (TMR) can measure weak magnetic fields and has significant advantages for use in alternating current/direct current (AC/DC) leakage sensors power equipment; however, TMR are easily perturbed by external fields, their measurement accuracy stability limited complex engineering application environments. To enhance the sensor performance, this paper proposes a new multi-stage AC/DC structure with high sensitivity anti-magnetic interference capability. The front-end...
We investigated the contents and distributions of nutrients heavy metals in sediment from Yitong River. The main aims were to analyze speciation evaluate their bioavailability, order assess risks they pose both ecosystem human health. average total nitrogen (TN), phosphorus (TP), organic matter (OM) Cd, Cr, Cu, Ni, Pb Zn 1747.69, 895.58, 75103, 0.19, 75.64, 33.61, 47.17, 56.65 159.91 mg kg−1, respectively. Results acid-extraction fraction analysis showed that proportions Cd ranged 3.78%...
As a novel population-based optimization algorithm, Teaching-Learning based Optimization (TLBO) possesses the advantages of single tuned parameter and global fast coarse search capability, at same time it risks being trapped in local optima for function due to premature convergence. In this paper, TLBO-based memetic namely TLBO-SPSA, is proposed, which simultaneous perturbation stochastic approximation (SPSA) incorporated into canonical TLBO enhance its capability balance exploration...
This study examines the item storage assignment problem in robotic mobile fulfillment systems (RMFSs), that determines of items to pods. Unlike previous studies on this generally considered an empty warehouse, current addresses RMFSs with nonempty The is formulated as a mixed-integer program goal maximizing correlation degree among items. On basis characteristics problem, adaptive large neighborhood search (ALNS) heuristic designed for solution. Numerical results show gap between ALNS and...
The iron and steel industry is energy-intensive due to the large volume of produced its high-temperature high-weight characteristics, sensors such as application can be utilized collect production data support process control optimization. Steelmaking-refining-continuous casting (SRCC) a bottleneck in process. SRCC scheduling problems are worldwide NP-hard. not only important for enterprises enhance efficiency, but also play significant role saving energy reducing resource consumption....