More statistics about euro-neurips-2022 HOT 7 CLOSED

Dynamic penalties. The load and time warp penalty parameters change over time. It's probably useful to track this, as they could help explain e.g. the # of feasible solutions in the population.

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Aside from LS performance, we also need to know more about crossover performance. How often is each crossover's offspring selected?

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Aside from LS performance, we also need to know more about crossover performance. How often is each crossover's offspring selected?

I was thinking along the lines of collecting the following statistics related to crossovers:

• Statistics on the parent individuals: i.e., the cost, load penalty, tw penalty, feasible/infeasible, diversity w.r.t. population. (basically most members of Individual)
• Also the diversity between the two parents.
• For each crossover, the statistics on the offspring individual
• The crossover that was selected
• Statistics on the educated individual (but maybe this is for LS?)

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@N-Wouda What's a good way to collect statistics for crossovers and local search? Currently, we only collect statistics directly from the population

Is collecting statistics from operators something we want to build into the Statistics object?

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What's a good way to collect statistics for crossovers and local search?

Maybe make Statistics a data member of GeneticAlgorithm? That way we can at least access it from relevant methods.

How to collect: I suspect we should have multiple collectFrom methods with different signatures. E.g. one for crossover (not sure what yet), one for when operators update, etc.

I am not sure about operators because they get called a lot and that "should collect" check is not free. Maybe we should start thinking about compile-time collection checks, maybe with templates?

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@leonlan is this still relevant?

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I made something on a branch called op-stats but I don't think I'll have time to finish this in time. I'll close it and tag it with future to pick it up after the competition.

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