1C: Optimization and scheduling

Examples of research topics are: 

• Algorithm or solver-based scheduling, for example for allocating resources to the demands

• Conflict resolution

• Online & offline scheduling

• Inconsistency resolution

• Parallel/hierarchical (cooperative) scheduling

• Scheduling constraints

• Spatial considerations

• Synchronization with logistic centers

• Variable scheduling windows

• Various optimization algorithms to be used in disaster and emergency management, such as:

• Graph-based, Dynamic Programming, Linear programming, Stock management, Placement etc. 

• Optimization strategies

• Optimization ontologies

• Data gathering for improving optimization and scheduling processes

• Machine learning techniques to improve optimization and scheduling algorithms

• Prioritization and trade-off in scheduling and optimization

• Schedule-ability and optimize-ability conditions

• Single- or multi- objective optimization  

• Single or multiple (online tunable) algorithms/solvers

• Standardization of plug-ins and management interfaces