We have found that the nontrivial integer programming problems we encounter tend to fall into two classes. The first class of problems is characterized by a relatively small number (less than 100) of ...

Additionally, efforts have been made to extend the feasibility pump framework to general mixed integer variables, demonstrating its versatility beyond purely binary problems [4].

To obtain a minimum backbone grid, a mixed integer linear programming (MILP) model with network connectivity constraints for a minimum backbone grid is proposed. In the model, some constraints are ...

This paper establishes an intrinsic complexity for the integer-programming problem that goes well beyond the computational complexities of linear programming. To this end, it describes a procedure ...

Zero-one integer programming is a mathematical method of using a series of yes (1) and no (0) answers to arrive at a solution.

Faced with unsolvable integer programming constraints? Explore these strategies to find alternative solutions and get back on track with your analysis.

We propose an exact solution approach that involves mixed-integer linear programming. The objective is hereby to minimize the sum of weighted deviations from the target landing times under ...

PMUs or synchronized PMUs are rapidly becoming essential in today’s power systems acting as monitors in the advancement of mainstream grid supervisory, protective, and controlling systems. This paper ...

There are section time constraints (STC) between adjacent stations, which has limitations for the train control. In this paper, train trajectory optimization problem with STC is solved by mixed ...