Doug Radford
@dougradford.bsky.social
2/4 - A great feature of MOEAs is that they are very flexible. We can incorporate a range of simulation models to represent different objectives. We optimised fuel treatment plans to reduce burn probability, exploring many thousands of different plans to find those that best achieved the objective.
October 31, 2025 at 12:11 AM
2/4 - A great feature of MOEAs is that they are very flexible. We can incorporate a range of simulation models to represent different objectives. We optimised fuel treatment plans to reduce burn probability, exploring many thousands of different plans to find those that best achieved the objective.
1/4 - Check our new paper in @ijwildlandfire.bsky.social
We use MOEA optimisation to support decisions for #wildfire risk reduction (e.g., where should we use prescribed burning to reduce risk?). Optimisation improves fuel treatment plan effectiveness by 80–280% and adapts to changing objectives.
We use MOEA optimisation to support decisions for #wildfire risk reduction (e.g., where should we use prescribed burning to reduce risk?). Optimisation improves fuel treatment plan effectiveness by 80–280% and adapts to changing objectives.
October 31, 2025 at 12:05 AM
1/4 - Check our new paper in @ijwildlandfire.bsky.social
We use MOEA optimisation to support decisions for #wildfire risk reduction (e.g., where should we use prescribed burning to reduce risk?). Optimisation improves fuel treatment plan effectiveness by 80–280% and adapts to changing objectives.
We use MOEA optimisation to support decisions for #wildfire risk reduction (e.g., where should we use prescribed burning to reduce risk?). Optimisation improves fuel treatment plan effectiveness by 80–280% and adapts to changing objectives.