Multi-agent-systems-celar-problem | Utilizing FRODO multi agent framework in Java to solve

Multi-agent-systems-celar-problem is a Python library. Multi-agent-systems-celar-problem has no bugs, it has no vulnerabilities and it has low support. However Multi-agent-systems-celar-problem build file is not available. You can download it from GitHub.

The french "Centre d’Électronique de l’Armement" (CELAR) has made available, in the framework of the European project EUCLID CALMA (Combinatorial Algorithms for Military Applications) s set of Radio Link Frequency Assignment benchmark problems (RLFAP) build from a real network, with simplified data. These benchmarks had been previously designed by the CELAR to assess several different Constraint Programming languages. These benchmarks are extremely valuable as benchmarks for the CSP community and more largely for constraint programming, and are available atThe constraints are all binary (involving no more than two variables), non linear and the variables have finite domains. These are real-world size problems, the larger instances having round one thousand variables and more than five thousand constraints. All these instances have been built from a unique real instance with 916 links and 5744 constraints in 11 connected components. The aim of this page is to present some essential facts which will be useful for people trying to tackle these instances. There are also some ideas of the purely practical aspect of these problems and more specifically of the origine of the criteria optimized. People interested in Frequency Assignment Problems should have a look to the FAP web site.