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...
Những tác giả chính: | , , |
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Định dạng: | Journal article |
Ngôn ngữ: | English |
Được phát hành: |
Elsevier
2021
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