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Randomized Mechanisms for Improved Approximation Ratios in Heterogeneous Two-Facility Location

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BERJAYA Combinatorial Optimization and Applications (COCOA 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15434))

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Abstract

This study explores heterogeneous two-facility location mixed mechanisms, aiming to develop an approach for positioning two facilities that ensures agent strategyproofness while minimizing social costs. We introduce a mixed mechanism that achieves an approximation ratio of \( \frac{25}{8} \), demonstrating a significant improvement over the latest deterministic mechanism, which has an approximation ratio of \( \frac{17}{4} \).

This work is supported by National Science Foundation of China (No. 12371099) and Natural Science Foundation of Shandong Province of China (No. ZR2024MA015).

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Correspondence to Yang Zhou .

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Xu, M., Liu, Q., Li, M., Zhou, Y. (2025). Randomized Mechanisms for Improved Approximation Ratios in Heterogeneous Two-Facility Location. In: Du, D., Han, L., Xu, D. (eds) Combinatorial Optimization and Applications. COCOA 2024. Lecture Notes in Computer Science, vol 15434. Springer, Singapore. https://doi.org/10.1007/978-981-96-4445-2_7

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