How do I evaluate optimization algorithms effectively?

How do I evaluate optimization algorithms effectively?

To evaluate optimization algorithms, you can use metrics like convergence speed, solution quality, and robustness.

What metrics should I focus on for convergence speed?

Focus on the number of iterations taken to reach a solution and the time taken for convergence.

Can you explain solution quality in more detail?

Solution quality refers to how close the algorithm's output is to the optimal solution, often measured by objective function values.

What are some common pitfalls in evaluating these algorithms?

Common pitfalls include overfitting to specific problems, ignoring computational cost, and not considering diverse test cases.