Many practical decision-making problems involve changing data and parameters with time. Solving such problems requires a custom-designed algorithm that can efficiently handle the repeatedly changing ...

We selected the objective functions that should be maximized for solving most real-word multi-objective optimization problems, which are pairs of the following: partitions separability, internal ...

Learn how to use cutting plane methods for multiobjective programming problems, where you have to optimize several conflicting objectives simultaneously.

Abstract In this paper, a new augmented Lagrangian penalty function for constrained optimization problems is studied. The dual properties of the augmented Lagrangian objective penalty function for ...

Hi,everyone. I have some problems when implement custom objective functions for mean absolute percentage error(MAPE) . the evaluation metric is defined as follow ...

Abstract This paper presents a modified method to solve multi-objective nonlinear programming problems with fuzzy parameters in its objective functions and these fuzzy parameters are characterized by ...