A distributed multi-agent system approach for solving constrained optimization problems using probability collectives
Complex systems generally have many components and it is difficult to understand the whole system only by knowing each component and its individual behavior. This is because any move by a component affects the further decisions/moves by the other components and so on. As the number of components gro...
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Format: | Thesis |
Language: | English |
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2012
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Online Access: | https://hdl.handle.net/10356/48033 |