Which algorithmic paradigm solves problems by trying out solutions using one or more models and then adapting based on what works and what doesn't?

  • Divide and Conquer
  • Dynamic Programming
  • Genetic Algorithms
  • Greedy Algorithms
'Greedy Algorithms' follow a paradigm where they make locally optimal choices at each step, hoping to find a globally optimal solution. They adapt based on immediate success without considering future consequences.
Add your answer
Loading...

Leave a comment

Your email address will not be published. Required fields are marked *