Do you know what are the best methods in MATLAB for optimizing the geometry of Nano-photonics, please?
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I am interested in doing optimization of geometry for nanophotonic devices using MATLAB, I have seen several artificial intelligence techniques that are existing in MATLAB ToolBox. I am looking for some methods that I can use in MATLAB for optimizing the shape of nano-photonic devices.
Can you advise me, please?
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Walter Roberson
2023-2-2
Well, sure I could spend a number of months reading all the published papers on the topic to try to figure out the best way -- but what about the advances since then that are available through the pre-print servers? And what about the advances that are too new to have made it to the pre-print servers?
Something is either the best or it is not the best. If I had a program that could execute for 30 seconds and give you a result that was 99.99% as good as the theoretical possible, then that is not suitable for your purpose, and you would rather have the program that took 400 years to get 99.999% as good as the theoretical possible, or have the program that took "only" a billion years to get to 99.9999% as good as the theoretical possible.
I mostly feel as if when someone asks for the "best" that there is nothing I can do for them. (The rest of the time I might happen to know a reason why it is mathematically impossible to come up with a "best" solution.)
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Dinesh
2023-3-31
Hi Manal,
I understand that you are trying to optimize the geometry of Nano-photonics. You can use the following methods for the optimization. All these algorithms are already a part of optimization toolbox.
- Genetic Algorithm : A heuristic optimization method based on natural selection and evolution.
- swarm intelligence: Particle Swarm and Ant colony optimization techniques
- Simulated Annealing: A stochastic optimization method that mimcs how annealing process is done
Hope this helps,
Thank you!
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Walter Roberson
2023-3-31
GA and Particle Swarm and Ant Colony are examples of a field sometimes called Evolutionary Optimization. There are File Exchange contributions to implement other Evolutionary Optimization strategies. For example, perhaps it would help in this case to use Shark Smell Optimization, or Honey Badger Optimization, or Chaos Bird Swarm Optimization. (Those all exist.)
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