The plot shows the cumulative minimum value of all objective function evaluations f(x) at design points x \in D after n iterations, leading to a monotone decreasing function.
Interpretation:
If the graph shows a decrease, the optimization improves.
If the graphs stays (more or less) constant, the optimizer might have converged.
How to use
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Additional point: If the plot still shows a steep decrease for $n \to n_{max}$, increasing the maximum number of iterations could yield further gain in optimization performance.
Description Plot minimum y over iterations
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