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https://gitee.com/sunhf/gprMax.git
已同步 2025-08-07 23:14:03 +08:00
Moved plotting of results to a separate script/module.
这个提交包含在:
@@ -132,22 +132,19 @@ def run_opt_sim(args, numbermodelruns, inputfile, usernamespace):
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break
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# Stop optimisation if successive fitness values are within a percentage threshold
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if iteration > 2:
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fitnessvaluesclose = (np.abs(fitnessvalueshist[iteration - 2] - fitnessvalueshist[iteration - 1]) / fitnessvalueshist[iteration - 1]) * 100
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fitnessvaluesthres = 0.1
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if fitnessvaluesclose < fitnessvaluesthres:
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print('\nTaguchi optimisation stopped as successive fitness values within {}%'.format(fitnessvaluesthres))
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break
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# if iteration > 2:
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# fitnessvaluesclose = (np.abs(fitnessvalueshist[iteration - 2] - fitnessvalueshist[iteration - 1]) / fitnessvalueshist[iteration - 1]) * 100
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# fitnessvaluesthres = 0.1
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# if fitnessvaluesclose < fitnessvaluesthres:
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# print('\nTaguchi optimisation stopped as successive fitness values within {}%'.format(fitnessvaluesthres))
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# break
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# Save optimisation parameters history and fitness values history to file
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opthistfile = inputfileparts[0] + '_hist'
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np.savez(opthistfile, dict(optparamshist), fitnessvalueshist)
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np.savez(opthistfile, dict(optparamshist), fitnessvalueshist=fitnessvalueshist, optparamsinit=optparamsinit)
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print('\n{}\nTaguchi optimisation completed after {} iteration(s).\nHistory of optimal parameter values {} and of fitness values {}\n{}\n'.format(68*'*', iteration, dict(optparamshist), fitnessvalueshist, 68*'*'))
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# Plot the history of fitness values and each optimised parameter values for the optimisation
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plot_optimisation_history(fitnessvalueshist, optparamshist, optparamsinit)
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def taguchi_code_blocks(inputfile, taguchinamespace):
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"""Looks for and processes a Taguchi code block (containing Python code) in the input file. It will ignore any lines that are comments, i.e. begin with a double hash (##), and any blank lines.
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