Constraints can be graphically expressed as lines or curves that define the boundaries of the feasible region on a coordinate plane. To plot these constraints, you need to assign each decision ...

Before you can adapt your integer programming solution to evolving constraints, it's crucial to perform a thorough assessment. Understand the nature of the changes: ...

Mathematical programming with vanishing constraints (MPVC) represents a challenging class of optimisation problems where certain constraints become inactive—or “vanish”—depending on ...

This article considers the robust dynamic event-driven tracking control problem of nonlinear systems having mismatched disturbances and asymmetric input constraints. Initially, to tackle the ...

Mathematical programming (MP) models are common in optimization of real-world processes. Models are usually built by optimization experts in an iterative manner: an imperfect model is continuously ...

N. Rubin, Bright, C. , Stevens, B. , and Cheung, K. K. H. , “Integer and Constraint Programming Revisited for Mutually Orthogonal Latin Squares (Student Abstract)”, in Thirty-Sixth AAAI Conference on ...

However, they cannot directly handle the soft constraints with the max operator required in many real-world objectives. This paper proposes a novel analytically differentiable surrogate objective ...

In this study, a dynamic programming algorithm for prediction of RNA secondary structure has been revised to use experimentally determined chemical modification constraints. These constraints ...

A critical factor in the success of many decision support systems is the accurate modeling of user preferences. Psychology research has demonstrated that users often develop their preferences during ...