Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of GraphSearch.
Concept
Branch and cut
Summary
Branch and cut is a method of combinatorial optimization for solving integer linear programs (ILPs), that is, linear programming (LP) problems where some or all the unknowns are restricted to integer values. Branch and cut involves running a branch and bound algorithm and using cutting planes to tighten the linear programming relaxations. Note that if cuts are only used to tighten the initial LP relaxation, the algorithm is called cut and branch.
This description assumes the ILP is a maximization problem.
The method solves the linear program without the integer constraint using the regular simplex algorithm. When an optimal solution is obtained, and this solution has a non-integer value for a variable that is supposed to be integer, a cutting plane algorithm may be used to find further linear constraints which are satisfied by all feasible integer points but violated by the current fractional solution. These inequalities may be added to the linear program, such that resolving it will yield a different solution which is hopefully "less fractional".
At this point, the branch and bound part of the algorithm is started. The problem is split into multiple (usually two) versions. The new linear programs are then solved using the simplex method and the process repeats. During the branch and bound process, non-integral solutions to LP relaxations serve as upper bounds and integral solutions serve as lower bounds. A node can be pruned if an upper bound is lower than an existing lower bound. Further, when solving the LP relaxations, additional cutting planes may be generated, which may be either global cuts, i.e., valid for all feasible integer solutions, or local cuts, meaning that they are satisfied by all solutions fulfilling the side constraints from the currently considered branch and bound subtree.
The algorithm is summarized below.
Add the initial ILP to , the list of active problems
Set and
while is not empty
Select and remove (de-queue) a problem from
Solve the LP relaxation of the problem.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.