CONFERENCE TOPICS
The conference focus is the use of operational research and decision-making methods including optimization models and solution approaches for wildfire-related decision problems. These encompass, but are not limited to:
- Mathematical programming;
- Heuristics, meta-heuristics, and matheuristics;
- Exact solution methods;
- Optimization under uncertainty;
- Multi-objective optimization;
- Multi-criteria decision analysis;
- Network optimization;
- Combinatorial optimization;
- Simulation-optimization.
Related approaches, such as statistics and machine learning, are also within the scope of the conference, either as ingredients or as alternative stand-alone approaches.
Wildfire decision problems that have been addressed by optimization include, among others:
- Fuel management (e.g., fuel treatments, prescribed burning, firebreak placement);
- Fire detection (e.g., trategical or tactical location of detection resources, routing and scheduling of detection resources);
- Resource location-allocation in wildfire preparedness (e.g., suppression resources deployment to/between bases);
- Suppression resources dispatch in wildfire response;
- Suppression resources operations in wildfire response;
- Wildfire evacuation;
- Wildfire asset protection;
- Combined decision problems (e.g., fuel treatments and deployment, deployment and dispatch);
- Budgeting;
- Fire spread simulation;
- Forest management (including harvest scheduling) under fire potential.
Related topics are also welcome, such as:
- Risk analysis;
- Remote detection;
- Fuel characterization;
- Fire spread models;
- Software and decision support systems.
