On the probabilistic feasibility of solutions in multi-agent optimization problems under uncertainty

We investigate the probabilistic feasibility of randomized solutions to two distinct classes of uncertain multi-agent optimization programs. We first assume that only the constraints of the program are affected by uncertainty, while the cost function is arbitrary. Leveraging recent developments on a...

詳細記述

書誌詳細
主要な著者: Pantazis, G, Fele, F, Margellos, K
フォーマット: Journal article
言語:English
出版事項: Elsevier 2021

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