IEEE

Research on AGV Task Rescheduling Based on Improved Greedy and Simulated Annealing

Abstract: This paper addresses multi-AGV task allocation in intelligent manufacturing by proposing a hybrid rescheduling method combining an improved greedy algorithm and simulated annealing. It ...
IEEE

Optimal Selection of Intervention Timing in Opinion Dynamics

Abstract: Differing from existing research on intervention strategies such as leader selection and edge addition, we investigate the impact of intervention timing in opinion dynamics. We employ the ...
IEEE

A Learning-Based Two-Stage Multi-Thread Iterated Greedy Algorithm for Co-Scheduling of Distributed Factories and Automated Guided Vehicles With Sequence-Dependent Setup Times

Abstract: Automated guided vehicles are widely utilized in the real production environment for tasks such as job transfer and inter-factory collaboration, yet they remain relatively underexplored in ...
IEEE

Optimizing Class Scheduling for the University of Northern Philippines Using Greedy Algorithm

Abstract: Manual class scheduling at the University of Northern Philippines (UNP) is characterized by inefficiencies, frequent conflicts, and delays, negatively impacting faculty and students. This ...
IEEE

Recommendation-Enabled Caching Strategy With Age of Information in Edge-Cloud Networks

Abstract: The recommendation of local content in edge servers is a crucial strategy to alleviate cloud pressure and enhance resource utilization in edge-cloud networks. However, the dynamic ...
IEEE

Optimization of Circular Disassembly Lines With Human-Assisted Robotic Workstations Using Two-Stage Greedy PPO Algorithm

Abstract: Disassembly is a critical step in the recycling and reusing of end-of-life products. As Industry 5.0 emerges, manufacturing is shifting from a system-oriented approach to a human-centered ...
IEEE

Planning and Verification of a Cloud-Based Monitoring DC Microgrid System Using the Greedy Algorithm

Abstract: This paper aims to implement a cloud-based monitoring DC microgrid system suitable for communities by integrating a simulated utility grid system (SUGS), battery energy storage system (BESS) ...
IEEE

Greedy Heuristic Algorithm for Job-Shop Scheduling in Smart Manufacturing Environments

Abstract: Job-shop scheduling is a fundamental optimization issue in manufacturing. It involves determining the optimal allocation of many jobs among machines to increase makespan, throughput, and ...
IEEE

TrashTrack: A Smart Waste Monitoring System with Constraint-Based Greedy Algorithm for Optimized Collection Routes

Abstract: Urban waste management demands efficient systems to optimize collection and reduce environmental impact. This study introduces TrashTrack, an IoT-based smart waste monitoring application ...
IEEE

DRL-Based Task Offloading and Resource Allocation Strategy for Secure V2X Networking

Abstract: Vehicle-to-Everything (V2X) networking is poised to further integrate vehicular communication with Mobile Edge Computing (MEC) technologies, enhancing autonomous vehicle driving and ...
IEEE

Minimizing Total Tardiness in the Distributed Flowshop Group Scheduling Problem with an Iterated Greedy Algorithm

Abstract: This paper studies a distributed permutation flowshop group scheduling problem (DPFGSP) with a total tardiness criterion, which has significant applications in the current manufacturing ...