|Friday||2:30 PM - 4:30 PM||lesson||Lecture Hall M|
In this seminar course there will be presented some mathematical aspects of the modelization of complex real-world systems.
Mathematical tools for modeling: elements of optimization.
First part: "The Multi-Vehicle Traveling Purchaser Problem with Pairwise Incompatibility Constraints and Unitary Demands: A Branch-and-Price Approach" by prof. Renata Mansini (University of Brescia)
In this work, we study a supplier selection and routing problem where a fleet of homogeneous vehicles with a predefined capacity is available for procuring different products from different suppliers with the aim to satisfy demand at the minimum traveling and purchasing cost. Decisions are further complicated by the presence of pairwise incompatibility constraints among products, implying the impossibility of loading two incompatible products on the same vehicle. The problem is known as the Multi-Vehicle Traveling Purchaser Problem with Pairwise Incompatibility Constraints. We study the special case in which the demand for each product is unitary and propose a column generation approach based on a Dantzig-Wolfe reformulation of the problem, where each column represents a feasible vehicle route associated with a compatible purchasing plan.
To solve the pricing problem we propose an hybrid strategy exploiting the advantages of two alternative exact methods, a labeling algorithm solving a Resource-Constrained Elementary Shortest Path Problem on an expanded graph, and a tailored branch-and-cut algorithm.
Due to the integrality request on variables, we embed the column generation in a branch-and-bound framework and propose different branching rules.
Extensive tests, carried out on a large set of instances, show that our branch-and-price method performs well, improving on average, both in quality and in computational time, solutions obtained by a state-of-art branch-and-cut approach applied to a three-index connectivity constraints based formulation.
This is a seminar course. Students will present a project on a topic decided by the teacher at the end of the course.
Data from AA 2016/2017 are not available yet