Skip to main content
Log in

Discrete facility location games with different preferences

  • Published:
Journal of Combinatorial Optimization Aims and scope Submit manuscript

Abstract

We study the mechanism design for discrete facility location games with different preferences, where the facilities can only be built at a finite set of candidate locations, and a mechanism maps the agent locations to candidate locations for building facilities. We consider both the obnoxious preferences, where the agents want to stay as far away as possible from the facilities, and the dual preferences, where each agent may either like or dislike a facility. When the preferences are obnoxious, for two heterogeneous facilities, we present a group strategy-proof mechanism which has an approximation ratio of 2 for both social utility objective and minimum utility objective. Both objectives are proven to have a lower bound of \(\frac{3}{2}\). For two homogeneous facilities, we prove there is no deterministic strategy-proof mechanism with bounded approximation ratio. When the preferences are dual, we consider the single facility location games under the social utility objective, and propose a group strategy-proof mechanism with approximation ratio of 4.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data availability

Enquiries about data availability should be directed to the authors.

References

  • Anastasiadis Eleftherios, Deligkas Argyrios (2018) Heterogeneous facility location games. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), pp 623–631

  • Chan Hau, Filos-Ratsikas Aris, Li Bo, Li Minming, Wang Chenhao (2021) Mechanism design for facility location problems: a survey. In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI), pp 4356–4365

  • Chen Xujin, Xiaodong Hu, Tang Zhongzheng, Wang Chenhao (2021) Tight efficiency lower bounds for strategy-proof mechanisms in two-opposite-facility location game. Inf Process Lett 168:106098

    Article  MathSciNet  MATH  Google Scholar 

  • Cheng Yukun, Wei Yu, Zhang Guochuan (2013) Strategy-proof approximation mechanisms for an obnoxious facility game on networks. Theoret Comput Sci 497:154–163

    Article  MathSciNet  MATH  Google Scholar 

  • Dokow Elad, Feldman Michal, Meir Reshef, Nehama Ilan (2012) Mechanism design on discrete lines and cycles. In Proceedings of the 13th Acm Conference on Electronic Commerce (EC), pp 423–440

  • Feldman Michal, Fiat Amos, Golomb Iddan (2016) On voting and facility location. In Proceedings of the 17th ACM Conference on Economics and Computation (EC), pp 269–286

  • Filimonov Alina, Meir Reshef (2021) Strategyproof facility location mechanisms on discrete trees. In Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp 510–518

  • Gai Ling, Liang Mengpei, Wang Chenhao (2022) Obnoxious facility location games with candidate locations. In Proceedings of the 16th International Conference on Algorithmic Aspects in Information and Management (AAIM), pp 96–105

  • Kanellopoulos Panagiotis, Voudouris Alexandros, Zhang Rongsen (2022) On discrete truthful heterogeneous two-facility location. In Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI), pp 342–348

  • Panagiotis Kanellopoulos, Voudouris Alexandros A, Rongsen Zhang (2023) On discrete truthful heterogeneous two-facility location. SIAM J Discret Math 37(2):779–799

    Article  MathSciNet  MATH  Google Scholar 

  • Nehama Ilan, Todo Taiki, Yokoo Makoto (2022) Manipulation-resistant false-name-proof facility location mechanisms for complex graphs. Auton Agent Multi-Agent Syst 36(1):12

    Article  Google Scholar 

  • Procaccia Ariel D, Tennenholtz Moshe (2009) Approximate mechanism design without money. In Proceedings of the 10th ACM Conference on Electronic Commerce (EC), pp 177–186

  • Serafino Paolo, Ventre Carmine (2016) Heterogeneous facility location without money. Theoret Comput Sci 636:27–46

    Article  MathSciNet  MATH  Google Scholar 

  • Tang Zhongzheng, Wang Chenhao, Zhang Mengqi, Zhao Yingchao (2020) Mechanism design for facility location games with candidate locations. In Proceedings of the 14th International Conference on Combinatorial Optimization and Applications (COCOA), pp 440–452

  • Tang Zhongzheng, Wang Chenhao, Zhang Mengqi, Zhao Yingchao (2022) Strategyproof facility location with limited locations. Journal of the Operations Research Society of China, pp 1–15

  • Thang Nguyen Kim (2010) On (group) strategy-proof mechanisms without payment for facility location games. In Proceedings of the 6th International Workshop on Internet and Network Economics (WINE), pp 531–538

  • Walsh Toby (2021) Strategy proof mechanisms for facility location at limited locations. In Proceedings of the 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI), pp 113–124

  • Xinping Xu, Li Bo, Li Minming, Duan Lingjie (2021) Two-facility location games with minimum distance requirement. J Artif Intell Res 70:719–756

    Article  MathSciNet  MATH  Google Scholar 

  • Zou Shaokun, Li Minming (2015) Facility location games with dual preference. In Proceedings of the 14th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), pp 615–623

Download references

Funding

This work was supported in part by the Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, UIC, project code 2022B1212010006, by Guangdong Higher Education Upgrading Plan (2021–2025) of “Rushing to the Top, Making Up Shortcomings and Strengthening Special Features” with UIC research grant R0400001-22, and by Artificial Intelligence and Data Science Research Hub, UIC, No. 2020KSYS007 and No. UICR0400025-21. Ling Gai is supported by National Natural Science Foundation of China under Grant No. 11201333. Chenhao Wang is supported by NSFC under Grant No. 12201049, and is also supported by UIC grants of UICR0400014-22, UICR0200008-23 and UICR0700036-22.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chenhao Wang.

Ethics declarations

Conflict of interest

The authors have not disclosed any competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gai, L., Liang, M. & Wang, C. Discrete facility location games with different preferences. J Comb Optim 46, 17 (2023). https://doi.org/10.1007/s10878-023-01082-x

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10878-023-01082-x

Keywords

Mathematics Subject Classification (2020)

Navigation