シャドウプライスによるナビゲーションでマルチコモディティフロー率を最適化
Navigation with shadow prices to optimize multi-commodity flow rates
自律マルチエージェントチームの通信網構築のため、通信エージェントの最適配置をシャドウプライスに基づくアルゴリズムで求める手法を提案。
著者: Ignacio Boero, Igor Spasojevic, Mariana del Castillo, George Pappas, Vijay Kumar, Alejandro Ribeiro
分類: math.OC, cs.RO
原文アブストラクト
We propose a method for providing communication network infrastructure in autonomous multi-agent teams. In particular, we consider a set of communication agents that are placed alongside regular agents from the system in order to improve the rate of information transfer between the latter. In order to find the optimal positions to place such agents, we define a flexible performance function that adapts to network requirements for different systems. We provide an algorithm based on shadow prices of a related convex optimization problem in order to drive the configuration of the complete system towards a local maximum. We apply our method to three different performance functions associated with three practical scenarios in which we show both the performance of the algorithm and the flexibility it allows for optimizing different network requirements.
