Have N partecipants,you need to generate balanced teams based on a score.
This software generate balanced teams of N partecipants, given a score for each, using the simulated annealing technique.
A simple standalone demo is provided: build the project and run
java -jar TeamCreator.jar
to run the program with random generated values.
##Configuration and customization
Euristic parameters are set in the Config.java class, provided by a DataSource.
Configuration parameters (Config class):
* teamSize: Size of the teams
* temperature: parameter of the simulated annealing, default: 100
* rate: parameter of the simulated annealing, default: 0.02
The DataSource interface can be implemented to provide different ways to fetch data: an example FileDataSource is provided.
The Report interface is used to implement a class to export the generated data:
generateReport(List<Group<Item>> list, Double target, Double distance)
is called at the end of the simulation: each Group represents a balanced team, target is the average score of all partecipants and distance is the maximum difference between average scores of the groups.
An example report PrintOutputReport,which prints to the standard output, is provided.
Partecipants model needs to implement the Item interface and provide a clone() method, a simple Partecipant class is provided.
TeamCreator creator = new TeamCreator();
DataSource ds = new ... ;
Report report = new ... ;
creator.run(ds,report);
DataSource.getConfig() is invoked to fetch data and configuration values, report.generateReport() is used at the end of the simulation to generate a result.