Comparative study of initialization methods in GP-based symbolic regression finds negligible effect on final Pareto fronts when initial population diversity is similar.
In: Proceedings of the 35th International Conference on Neural Information Processing Systems
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Evaluation of Population Initialization Methods for Genetic Programming-based Symbolic Regression
Comparative study of initialization methods in GP-based symbolic regression finds negligible effect on final Pareto fronts when initial population diversity is similar.