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Branchpriceandcut for vehicle routing Guy Desaulniers Professor, Polytechnique Montreal, Canada Director, GERAD, CanadaVeRoLog PhD School 2018 Cagliari, Italy, June 2, 2018Branchpriceandcut for vehicle
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How to fill out branch-price-and-cut for vehicle routing

01
Define the problem by identifying the set of vehicles, customers, and their demands.
02
Linearize the vehicle routing problem to obtain an initial relaxation without integer constraints.
03
Formulate the pricing problem to generate columns (routes) based on the reduced cost approach.
04
Solve the linear relaxation using a suitable optimization algorithm (e.g., simplex method).
05
Check for optimality; if not optimal, use the solution to identify columns that can be added to improve the solution.
06
Iteratively add new routes (columns) to the problem and resolve until no more improving columns can be generated.
07
Integrate integer constraints and resolve to achieve a feasible integer solution.
08
Use cutting planes to eliminate infeasible solutions without losing the integer feasible region.

Who needs branch-price-and-cut for vehicle routing?

01
Logistics companies looking to optimize delivery routes.
02
Transportation planners needing to minimize costs and improve efficiency.
03
Researchers and practitioners in operations research focusing on vehicle routing problems.
04
Businesses with fleet management needs aiming for better resource allocation.
05
Software developers creating applications for route optimization.
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Branch-price-and-cut is a mathematical optimization technique used to solve vehicle routing problems by combining branching, pricing of routes, and cutting planes to efficiently explore the solution space and find optimal routes.
Researchers, logistics planners, or companies that utilize vehicle routing optimization to enhance their delivery and transportation efficiency may be required to implement branch-price-and-cut methodologies.
To implement branch-price-and-cut for vehicle routing, first define the problem constraints and objectives, then develop a linear programming model, incorporate a branching strategy for route selection, utilize pricing mechanisms to evaluate potential routes, and apply cutting planes to tighten the feasible region of solutions.
The purpose of branch-price-and-cut for vehicle routing is to efficiently solve complex routing problems, reduce operational costs, improve service levels, and optimize resource allocation in logistics and transportation.
Information that must be reported includes the formulation of the objective function, constraints, the details of the branching strategy, the pricing mechanism used for routes, the cutting planes applied, and the resulting optimal routes and costs achieved.
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