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arXiv · 1908.09135

Subadditive Load Balancing

Kiyohito Nagano·Akihiro Kishimoto
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Abstract

Set function optimization is essential in AI and machine learning. We focus on a subadditive set function that generalizes submodularity, and examine the subadditivity of non-submodular functions. We also deal with a minimax subadditive load balancing problem, and present a modularization-minimization algorithm that theoretically guarantees a worst-case approximation factor. In addition, we give a lower bound computation technique for the problem. We apply these methods to the multi-robot routing problem for an empirical performance evaluation.

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Kiyohito Nagano, Akihiro Kishimoto. 2019-08-24. Subadditive Load Balancing. https://arxiv.org/abs/1908.09135

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