Abstract: When solving constrained optimization problems by evolutionary algorithms, an important issue is how to balance constraints and objective function. This paper presents a new method to ...

Abstract: A fitness function is a type of objective function that quantifies the optimality of a solution; the correct formulation of this function is relevant, in evolutionary-based ATS systems, ...

The input argument fun refers to an IML module that specifies a function that returns f, a vector of length m for least-squares subroutines or a scalar for other optimization subroutines. The returned ...

Thank you for making LightGBM available. If I initialise the model with objective=custom_training_loss, the eval multiclass loss makes no progress during training. [1] eval's multi_logloss: 34.5388 [2 ...