Photo by charlesdeluvio from unsplash
In this letter we propose a method for sparse allocation of resources to control spreading processes – such as epidemics and wildfires – using convex optimization, in particular exponential cone… Click to show full abstract
In this letter we propose a method for sparse allocation of resources to control spreading processes – such as epidemics and wildfires – using convex optimization, in particular exponential cone programming. Sparsity of allocation has advantages in situations where resources cannot easily be distributed over a large area. In addition, we introduce a model of risk to optimize the product of the likelihood and the future impact of an outbreak. We demonstrate with a simplified wildfire example that our method can provide more targeted resource allocation compared to previous approaches based on geometric programming.
Journal Title: IEEE Control Systems Letters
Year Published: 2021
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!