Hi,
I would like to use octopus or wallacei with ladybug tools to perform a multi-objective optimization simulation of energy consumption and daylighting in a residential single-family building. And I need to perform a large number of iterations using genetic algorithms.
I wonder whether the pollination platform is capable of running multi-objective optimization simulations？
Thanks！
Hi, @omen - Pollination is capable of doing this, but I don’t think you can use it with the native Grasshopper optimization components. Here is what the process can look like.
- Generate the first iteration of the input geometries.
- Submit them to Pollination to run in parallel.
- Download the results, and post-process them.
- Stop if you have achieved your goals.
- Otherwise, feed them to the genetic algorithm and get the input values for the next generation.
- Create a new generation of models.
- Go to step 2.
This is a very old post that I wrote about 10 years ago and does something similar to what I’m suggesting above:
Here is a paper that describes the process in more detail: