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| Content Provider | ACM Digital Library |
|---|---|
| Author | Atlas, James Decker, Keith |
| Abstract | Distributed Constraint Optimization (DCOP) is a general framework that can model complex problems in multiagent systems. Several current algorithms that solve general DCOP instances, including ADOPT and DPOP, arrange agents into a traditional pseudotree structure. We introduce an extension to the DPOP algorithm that handles an extended set of pseudotree arrangements. Our algorithm correctly solves DCOP instances for pseudotrees that include edges between nodes in separate branches. The algorithm also solves instances with traditional pseudotree arrangements using the same procedure as DPOP. We compare our algorithm with DPOP using several metrics including the induced width of the pseudotrees, the maximum dimensionality of messages and computation, and the maximum sequential path cost through the algorithm. We prove that for some problem instances it is not possible to generate a traditional pseudotree using edge-traversal heuristics that will outperform a cross-edged pseudotree. We use multiple heuristics to generate pseudotrees and choose the best pseudotree in linear space-time complexity. For some problem instances we observe significant improvements in message and computation sizes compared to DPOP. |
| Starting Page | 1 |
| Ending Page | 8 |
| Page Count | 8 |
| File Format | |
| ISBN | 9788190426275 |
| DOI | 10.1145/1329125.1329262 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2007-05-14 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Multiagent coordination Distributed constraint satisfaction and optimization |
| Content Type | Text |
| Resource Type | Article |
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