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naive_GA

How to use

  • Run python main.py to run the code
  • Run python submain.py to run the code with multiprocessing
  • Changing fitness function in main.py
  • All the result will be stored in result folder
  • Run python graph_creator.py to create the graph with 4 options. Can change file path in option.py according to format (line1: value, line2: problem_size, line3: standard_deviation)

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Simple Evolutionary Optimization

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