Integer programming can be applied to software project portfolios by formulating it as a binary knapsack problem. In this problem, you have a set of items, each with a value and a weight, and a ...

Final project of the subject "Systems Optimization" from the Graduate Program in Electrical Engineering and Industrial Informatics (CPGEI) from UTFPR, Brazil. It consists on the use of the GUSEK tool ...

[1] R. Sivapuram, R. Picelli, Topology optimization of binary structures using Integer Linear Programming, Finite Elements in Analysis and Design 139 (2018) 49–61 [2] R. Sivapuram, R. Picelli, Y.M.

A.P. Punnen, (editor), The Quadratic Unconstrained Binary Optimization Problem: Theory, Algorithms, and applications. ... An Integer Programming Model for the Ferry Scheduling Problem, Chapter 22 in ...

To incorporate integer or binary variables in a linear programming problem, you need to specify them in the formulation. This means that you need to define the objective function, the constraints ...

Integer programming is a crucial branch of mathematical optimisation that focuses on problems where some or all decision variables are constrained to be integers. This field underpins many ...

Integer programming and combinatorial optimization form the backbone of many decision-making and resource allocation problems across diverse fields, from logistics and telecommunications to ...

6.2. Mixed Binary Linear Programming Problem. In the case of a mixed binary linear programming problem, only the binary integer variables occupy the enforcer. In other words, if only the r binary ...

Finding sets of binary sequences with low auto- and cross-correlation properties is a hard combinatorial optimization problem with numerous applications, including multiple-input-multiple-output (MIMO ...