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ambhautik11 / TSP_Simulated-Annealing_Genetic-Algorithm_Comparison

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Using scipy's genetic algorithm for fitting Raman spectroscopy data #1

Open zunzun opened 7 years ago

zunzun commented 7 years ago

I see from your GitHub project that you are starting to work with genetic algorithms in Python. The authors of scipy have added a genetic algorithm for initial parameter estimation in curve fitting, the module is named scipy.optimize.differential_evolution.

I have used scipy's Differential Evolution genetic algorithm to determine initial parameters for fitting a double Lorentzian peak equation to Raman spectroscopy data and found that the results were excellent. The GitHub project, with a test spectroscopy data file, is:

https://github.com/zunzun/RamanSpectroscopyFit

If you have any questions, please let me know. My background is in nuclear engineering and industrial radiation physics, and I love Python so I will be glad to help.

James Phillips

ambhautik11 commented 7 years ago

Glad to here you ! Actually I am stuck in initialization of perimeters but now I think I can solve that issue. Thanks for the suggestion.

Have a nice day!

On 05-Jul-2017 3:30 pm, "James Phillips" notifications@github.com wrote:

I see from your GitHub project that you are starting to work with genetic in Python. The authors of scipy have added a genetic algorithm for initial parameter estimation in curve fitting, the module is named scipy.optimize.differential_evolution.

I have used scipy's Differential Evolution genetic algorithm to determine initial parameters for fitting a double Lorentzian peak equation to Raman spectroscopy data and found that the results were excellent. The GitHub project, with a test spectroscopy data file, is:

https://github.com/zunzun/RamanSpectroscopyFit

If you have any questions, please let me know. My background is in nuclear engineering and industrial radiation physics, and I love Python so I will be glad to help.

James Phillips

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