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- W1637539696 abstract "This paper proposes a method to implement ordinal optimization in a decentralized way to deal with optimization problems in networked systems. The key idea of DOO is that every sub-system takes samples independently and then cooperates among neighboring sub-systems to find good enough solution. Adaptive learning is also incorporated in DOO to narrow the search space. Numerical examples illustrate the effectiveness and efficiency of DOO." @default.
- W1637539696 created "2016-06-24" @default.
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- W1637539696 date "2015-08-01" @default.
- W1637539696 modified "2023-09-27" @default.
- W1637539696 title "Decentralized ordinal optimization (DOO) for networked systems" @default.
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- W1637539696 doi "https://doi.org/10.1109/coase.2015.7294177" @default.
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