5 citations · 13 across the 6 of their papers we have counts for
7 papers
Permutation Invariant Representations with Applications to Graph Deep Learning
Radu Balan, Naveed Haghani, Maneesh Singh
This paper presents primarily two Euclidean embeddings of the quotient space generated by matrices that are identified modulo arbitrary row permutations. The original application i…
Graph Generation: A New Approach to Solving Expanded Linear Programming Relaxations
Julian Yarkony, Naveed Haghani, Amelia Regan
In this article we introduce Graph Generation, an enhanced Column Generation (CG) algorithm for solving expanded linear programming relaxations of mixed integer linear programs. To…
Detour Dual Optimal Inequalities for Column Generation with Application to Routing and Location
Julian Yarkony, Naveed Haghani, Amelia Regan
We consider the problem of accelerating column generation (CG) for logistics optimization problems using vehicle routing as an example. Without loss of generality, we focus on the…
Multi-Robot Routing with Time Windows: A Column Generation Approach
Naveed Haghani, Jiaoyang Li, Sven Koenig +4
Robots performing tasks in warehouses provide the first example of wide-spread adoption of autonomous vehicles in transportation and logistics. The efficiency of these operations,…
Integer Programming for Multi-Robot Planning: A Column Generation Approach
Naveed Haghani, Jiaoyang Li, Sven Koenig +3
We consider the problem of coordinating a fleet of robots in a warehouse so as to maximize the reward achieved within a time limit while respecting problem and robot specific const…
Relaxed Dual Optimal Inequalities for Relaxed Columns: with Application to Vehicle Routing
Naveed Haghani, Claudio Contardo, Julian Yarkony
We address the problem of accelerating column generation for set cover problems in which we relax the state space of the columns to do efficient pricing. We achieve this by adaptin…