A paper “Learning decision trees with flexible constraints and objectives using integer optimization” has been accepted by CPAIOR 2017!
The paper Fair Task Allocation in Transportation is now online at Omega:
The author’s copy is available to download here: Download paper
Introduction: In this paper we study a fair task allocation problem in transportation where an optimal allocation not only has low cost but more importantly, it distributes tasks as even as possible among heterogeneous participants who have different capacities and costs to execute tasks. We develop an efficient method to find the optimal solution to this problem. We show by experiments that fairness often comes with a very small price in terms of cost.
The motivation of this study comes from the fact that when dealing with task or resource allocation, more and more attention is being given to cases in which cost should not always be the sole or major consideration. This is true for many problems especially those in sharing economy.