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, ...

Acupuncture conferred significant, clinically meaningful improvements in both perceived and objective cognitive function for ...

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 ...

Real and sham acupuncture were more effective at improving breast cancer survivors' perceived cognitive impairment compared ...

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 ...