the deadline for the submission to the Special Issue on "Combining
optimization and machine learning: applications in vehicle routing,
network design and crew scheduling", published by the EURO Journal on
Transportation and Logistics, has been extended to May 31st, 2019.
In attachment you find the call for papers.
We look forward to your contribution.
Best regards,
Claudia Archetti
EJTL Special Issue on
Combining optimization and machine learning: applications in vehicle
routing, network design and crew scheduling
Guest editors: Claudia Archetti, Jean-François Cordeau, Guy Desaulniers
Submission deadline: May 31st, 2019
Several families of core problems in transportation and logistics such
as vehicle routing, network design and crew scheduling remain formidably
challenging to solve for the operations research community and, for most
of them, efficient algorithms are still sought after by the industry.
One recent research trend explores the possibility of combining
optimization and machine learning in innovative ways to design improved
algorithms. Machine learning and optimization can be applied
sequentially or in an integrated fashion. In the former case, machine
learning can be used, for example, to estimate some problem input (e.g.,
cost coefficients, customer demand, capacity) for the optimization
model, to preprocess data with the goal of reducing the size of the
model to solve, or to describe customer behavior and preferences. In the
latter case, machine learning can be applied, for example, to adjust the
values of some of the parameters controlling the optimization algorithm
or to make heuristic decisions within the algorithm (e.g., select a
branching variable or define a neighborhood to explore) to increase its
efficiency.
This special issue focuses on the development of innovative solution
methods that combine machine learning and optimization to efficiently
solve vehicle routing, network design and crew scheduling problems in
all transportation modes (freight, public transit, air, maritime, rail).
The proposed optimization algorithms can be exact or heuristic.
Topics of interest include (but are not limited to):
·Vehicle routing and its variants: capacitated, with profits,
stochastic, time-dependent, split delivery, pickup-and-delivery, etc.
·Inventory routing
·Location routing
·Transportation and supply chain network design
·Ship routing and scheduling
·Bus scheduling
·Fleet assignment / locomotive assignment
·Duty scheduling / crew pairing
·Crew scheduling / crew rostering
-
Claudia Archetti
Associate Professor in Operations Research
Dept. of Economics and Management
University of Brescia
Contrada S.ta Chiara 50
25122 Brescia
Italy
Tel: +39 030 2988587
Fax: +39 030 2400925
E-mail: claudia.archetti@unibs.it
web OR group: http://or-brescia.unibs.it
web: http://www.unibs.it/dipartimenti/metodi-quantitativi/personale-del-dipartimento/ricercatori/dottssa-archetti-claudia
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