20 citations · 29 across the 10 of their papers we have counts for
6 papers · 1 filter
Binary Decision Diagrams for Bin Packing with Minimum Color Fragmentation
David Bergman, Carlos Cardonha, Saharnaz Mehrani
Bin Packing with Minimum Color Fragmentation (BPMCF) is an extension of the Bin Packing Problem in which each item has a size and a color and the goal is to minimize the sum of the…
Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning
Quentin Cappart, Emmanuel Goutierre, David Bergman +1
Finding tight bounds on the optimal solution is a critical element of practical solution methods for discrete optimization problems. In the last decade, decision diagrams (DDs) hav…
Seamless Multimodal Transportation Scheduling
Arvind U Raghunathan, David Bergman, John Hooker +2
Ride-hailing services have expanded the role of shared mobility in passenger transportation systems, creating new markets and creative planning solutions for major urban centers. I…
Predictive and Prescriptive Analytics for Location Selection of Add-on Retail Products
Teng Huang, David Bergman, Ram Gopal
In this paper, we study an analytical approach to selecting expansion locations for retailers selling add-on products whose demand is derived from the demand of another base produc…
On Finding Stable and Efficient Solutions for the Team Formation Problem
Hoda Atef Yekta, David Bergman, Robert Day
The assignment of personnel to teams is a fundamental and ubiquitous managerial function, typically involving several objectives and a variety of idiosyncratic practical constraint…
Network Models for Multiobjective Discrete Optimization
David Bergman, Merve Bodur, Carlos Cardonha +1
This paper provides a novel framework for solving multiobjective discrete optimization problems with an arbitrary number of objectives. Our framework formulates these problems as n…