Simultaneous Optimization of Task Allocation and Path Planning Using Mixed-Integer Programming for Time and Capacity Constrained Multi-Agent Pickup and Delivery
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- Type
- article
- Published
- 2022-11-27
- Cited by
- 3
- References
- 15
- OpenAlex
- https://openalex.org/W4313854693
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:255599283
Keywords
Motion planning, Computer science, Task (project management), Integer programming, Mathematical optimization
References
- A Manufacturing Big Data Solution for Active Preventive Maintenance
- Industry 4.0: A survey on technologies, applications and open research issues
- Supervisory Control-Based Navigation Architecture: A New Framework for Autonomous Robots in Industry 4.0 Environments
- Collision-Free Route Planning for Multiple AGVs in an Automated Warehouse Based on Collision Classification
- Task allocation in manufacturing: A review
- Approach to Integrated Scheduling Problems Considering Optimal Number of Automated Guided Vehicles and Conflict-Free Routing in Flexible Manufacturing Systems
- Multi-Robot Cooperative Task Allocation With Definite Path-Conflict-Free Handling
- Scheduling automated guided vehicles in very narrow aisle warehouses
- Multi-AGV scheduling for conflict-free path planning in automated container terminals
- Ordinal-Optimization Concept Enabled Decomposition and Coordination of Mixed-Integer Linear Programming Problems
- Integrated Task Assignment and Path Planning for Capacitated Multi-Agent Pickup and Delivery
- Efficient MILP formulations for AC optimal power flow to reduce computational effort
- Efficient MILP formulations for AC optimal power flow to reduce computational effort
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