Explore the strengths and limitations of genetic solvers and learn why you might need a machine learning algorithm.
- [Instructor] Galapagos adapts the principles … of evolution to generate design. … And in some cases, it can seem like a magic bullet. … In practice though, there are many times … when an evolutionary solution is not the fastest … or the most reliable. … Let's look at some general guidelines for when to use … an evolutionary solver. … The world is full of problems and sometimes … it seems like architectural designers … have to deal with all of them. … All problems are not created equal however. … There are actually formal definitions … for different problem types categorized … by the amount of time it takes to compute a solution. … This is really interesting stuff … and I recommend digging into it further if you're curious. … For our purposes, suffice it to say, … there are lots of problems for which no algorithm … can guarantee a correct solution … in an amount of time proportionate … to the complexity of the input. … These are perfect problems for an evolutionary algorithm. … Galapagos does not care that the problem is hard. …
- What is generative design?
- Limitations of generative design
- Strengths and limitations of genetic/evolutional solvers
- How physics solvers work
- Testing and adjusting goals
- Working with machine learning tools
- Design requirements and diagramming
- Optimizing with Galapagos
Skill Level Intermediate
Grasshopper: Architectural Prototypingwith Walter Zesk2h 28m Intermediate
Learning Algorithmic Design with Grasshopperwith Chris Reilly3h 14m Intermediate
1. What Is Generative Design?
2. Genetic/Evolutional Solver Example
3. Physics Solver Example
4. Machine Learning Solver Example
5. Applying Generative Design
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