Distributed optimization under partial information using direct interaction: a methodology and applications
This research proposes a methodology to solve distributed optimization problems where quasi-autonomous decision entities directly interact with each other for partial information sharing. In the distributed system we study the quasi-autonomy arising from the assumption that each decision entity has...
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| Format: | Others |
| Language: | en_US |
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Texas A&M University
2007
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| Online Access: | http://hdl.handle.net/1969.1/4831 |