Learn why dynamic programming is not the best optimization solution for some scenarios, and what alternatives you can use for greedy, non-overlapping, approximate, or parallel problems.

Integer variables are variables that can only take whole numbers, such as 0, 1, 2, and so on. Binary variables are a special case of integer variables that can only take 0 or 1 values, often ...

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 ...

A new method, based on binary integer programming, to solve the problem of fault section estimation in power systems is developed in this work. This optimization model is formulated based on a set of ...

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 ...

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

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 ...

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 ...

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 ...