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jMetal / jMetalPy

A framework for single/multi-objective optimization with metaheuristics
https://jmetal.github.io/jMetalPy/index.html
MIT License
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Pareto front tracking #60

Closed jjsoper closed 1 year ago

jjsoper commented 4 years ago

Hello,

Is there any functionality in place to track the progress of the non-dominated solution set (i.e. plot number of improvements versus number of function evaluations) for any given algorithm? Specifically, I would like to evaluate the search progress / performance of the NSGA-II as applied to a water quality model optimization that I am running.

Thanks, Josh

benhid commented 4 years ago

Hello,

Take a look here. You can create your own observers (e.g., BasicObserver) to track information about the optimization process.

Antonio.