Our work improves on the state-of-the-art by providing Integer Linear Programming (ILP) formulations supporting arbitrarily heterogeneous architectures. By modeling axonal interactions between neurons ...

A novel integer linear programming (ILP) formulation of deploying base stations and repeaters to meet a target coverage of traffic points (TPs) with minimum cost is presented, where the number of ...

In this paper we describe twelve distinct formulations of the GMSTP based on integer programming. Apart from the standard formulations all the new formulations that we describe are 'compact' in the ...

Roughly, we will cover the following topics (some of them may be skipped depending on the time available). Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear ...

Integer Linear Programming (ILP) is the foundation of combinatorial optimization, which is extensively applied across numerous industries to resolve challenging decision-making issues. Under a set of ...

Sparse Array Design via Integer Linear Programming Abstract: In this paper, a design framework based on integer linear programming is proposed for optimizing sparse array structures. We resort to ...

Solving the two-dimensional strip packing problem, using several combinatorial decision making and optimization approaches: Constraint Programming, Boolean SATisfiability, Satisfiability Modulo Theory ...

Integer Linear Programming About the Algorithm This project involves solving integer linear programming problems using Gomory's cutting plane algorithm. For more detailed information, refer to the ...

In this paper, we also present a mathematical programming method in which a mixed integer linear programming model for a minimum backbone grid is proposed. A minimum number of branches and maximum ...