We need your help! 🔥
Please consider disabling your ad-blocker to support this website! 🔑
We are a free, community-supported website! 🥰
We only display small unobtrusive ads which help us stay online! 💯
Thank you in advance! ❤️
We are a free, community-supported website! 🥰
We only display small unobtrusive ads which help us stay online! 💯
Thank you in advance! ❤️
MOO
Executes the NSGA-II multi-objective optimization algorithm. WORKS ON DOUBLECLICK
Inputs
| Name | ID | Description | Type |
|---|---|---|---|
| Variables | Var | Design Variables | Number |
| Objectives | Obj | Design Objectives | Number |
| Population Size | Pop | Population Size: number of solutions for each interation | Integer |
| Generations | Gen | Max number of generations | Integer |
| Seed | S | Random Seed. Integer 0 will leave the seed unspecified. | Integer |
| Filename | F | File name + extension ('output.csv') MUST INCLUDE EXTENSION | Text |
| Directory | Dir | Address of output file | Text |
Outputs
| Name | ID | Description | Type |
|---|---|---|---|
| Pareto Front | Pareto | The last NSGA-II generation, approximating the Pareto Front | Text |
| All Solutions | All Solutions | Record of all designs and their performance recorded while the algorithm was running. IF SLIDERS MOVE BUT THERE IS NO OUTPUT, CHECK DIRECTORY | Text |
Site design © Robin Rodricks.
Design Space Exploration and associated data © 2025 Digital Structures (MIT).
Rhinoceros and Grasshopper are registered trademarks of Robert McNeel & Associates.
Hosted by GitHub