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.
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