4 citations · 6 across the 3 of their papers we have counts for
6 papers
Adaptive robust electric vehicle routing under energy consumption uncertainty
Jaehee Jeong, Bissan Ghaddar, Nicolas Zufferey +1
Electric vehicles (EVs) have been highly favoured as a future transportation mode in the transportation section in recent years. EVs have many advantages compared to traditional tr…
Learning for Spatial Branching: An Algorithm Selection Approach
Bissan Ghaddar, Ignacio Gómez-Casares, Julio González-Díaz +3
The use of machine learning techniques to improve the performance of branch-and-bound optimization algorithms is a very active area in the context of mixed integer linear problems,…
Electric Vehicle Routing and Charging/Discharging under Time-Variant Electricity Prices
Bo Lin, Bissan Ghaddar, Jatin Nathwani
The integration of electric vehicles (EVs) with the energy grid has become an important area of research due to the increasing EV penetration in today's transportation systems. Und…
Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows
Bo Lin, Bissan Ghaddar, Jatin Nathwani
The past decade has seen a rapid penetration of electric vehicles (EV) in the market, more and more logistics and transportation companies start to deploy EVs for service provision…
Optimization Problems for Machine Learning: A Survey
Claudio Gambella, Bissan Ghaddar, Joe Naoum-Sawaya
This paper surveys the machine learning literature and presents in an optimization framework several commonly used machine learning approaches. Particularly, mathematical optimizat…
AC Transmission Network Expansion Planning: A Semidefinite Programming Branch-and-Cut Approach
Bissan Ghaddar, Rabih Jabr
Transmission network expansion planning is a mixed-integer optimization problem, whose solution is used to guide future investment in transmission equipment. An approach is present…