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To-do list!

• Add a crossover probability for binary representation!
• Pass a function to calculate the individuals' weight (like a normalization function)
• In the selection step, instead of returning a selected population, we could return a generator function. And the selected individual would be known in the crossover step.
• Considering the last item, we could use the offspring_generator in the crossover method.
• Refact the method PrimRST
• Refact the method KruskalRST
• Implement RandomWalkRST
• Implement mutation operator based on:
  • Random descent
  • Random jump