Coordinating Logistics Operations with Privacy Guarantees
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2482-2486.
Abstract
Several logistics service providers serve a certain number of customers, geographically spread over an area of operations. They would like to coordinate their operations so as to minimize overall cost. At the same time, they would like to keep information about their costs, constraints and preferences private, thus precluding conventional negotiation. We show how AI techniques, in particular Distributed Constraint Optimization (DCOP), can be integrated with cryptographic techniques to allow such coordination without revealing agents' private information. The problem of assigning customers to companies is formulated as a DCOP, for which we propose two novel, privacy-preserving algorithms. We compare their performances and privacy properties on a set of Vehicle Routing Problem benchmarks.
@inproceedings{ijcai2011p413,
title = {Coordinating Logistics Operations with Privacy Guarantees},
author = {Léauté, Thomas and Faltings, Boi},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {2482--2486},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-413},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-413},
}
TY - CPAPER TI - Coordinating Logistics Operations with Privacy Guarantees AU - Léauté, Thomas AU - Faltings, Boi T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 2482 EP - 2486 DO - 10.5591/978-1-57735-516-8/IJCAI11-413 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-413 ER -Copied
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