Should the run time of a metaheuristic roughly double when doubling the number of iterations?

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Amol C Adamuthe

Depends on numbers of evaluations of fitness function

Rafael Rivera-Lopez

The execution time of an algorithm depends on how it is implemented, probably when performing more iterations, the metaheuristic is rejecting candidate solutions, and if this happens, the procedure performs more operations than those conducted when the solution is accepted.

For example, in Java, I have observed that when type casting in generic references is applied, the code performs several verification operations consuming more CPU time.