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Project Summary

DCOPolis was originally developed to provide a testbed for comparing Distributed Constraint Optimization (DCO) algorithms in a sterile environment. It was the authors' opinion (along with many in the DCO community) that existing metrics for comparing solution techniques did not adequately capture the many intricacies inherent in such a problem. A byproduct of this testbed is a framework in which a single representation of a Distributed Constraint Optimization Problem (DCOP) can be solved by a multitude of different solution algorithms, either in simulation or deployed on a live (possibly ad-hoc) network.

Tags

artificial_intelligence distributed_computing distributed_constraint_optimization java multiagent_systems research

In a Nutshell, DCOPolis...

MIT
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These details are provided for information only. No information here is legal advice and should not be used as such.

This Project has No vulnerabilities Reported Against it

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Languages

Java
97%
2 Other
3%

30 Day Summary

Dec 31 2022 — Jan 30 2023

12 Month Summary

Jan 30 2022 — Jan 30 2023

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