Design optimisation (Single objective)
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Intro
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01 | Introduction
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02 | Run a structural optimisation using the evolutionary solver in Galapagos
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03 | Fine-tune the optimisation settings (design space resolution and optimisation end criteria)
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04 | Perform a form-improvement using a high-dimensional design space
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05 | Analyse the optimisation history and adjust the hyperparameters
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06 | Run an acoustic optimisation process
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07 | Record the optimisation history to rebuild the convergence graph and reinstate solutions
Information
| Primary software used | Grasshopper |
| Course | Design optimisation (Single objective) |
| Primary subject | AI & ML |
| Secondary subject | Optimization |
| Level | Intermediate |
| Last updated | November 5, 2025 |
| Keywords |
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| Faculty |
Design optimisation (Single objective) 0/7
Design optimisation (Single objective)
Design optimisation (Single objective)
Design optimisation (Single objective) 1/7
01 | Introductionlink copied
Design optimisation (Single objective) 2/7
02 | Run a structural optimisation using the evolutionary solver in Galapagoslink copied
Design optimisation (Single objective) 3/7
03 | Fine-tune the optimisation settings (design space resolution and optimisation end criteria)link copied
Design optimisation (Single objective) 4/7
04 | Perform a form-improvement using a high-dimensional design spacelink copied
Design optimisation (Single objective) 5/7
05 | Analyse the optimisation history and adjust the hyperparameterslink copied
Design optimisation (Single objective) 6/7
06 | Run an acoustic optimisation processlink copied
Design optimisation (Single objective) 7/7
07 | Record the optimisation history to rebuild the convergence graph and reinstate solutionslink copied
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