Package org.ddolib.examples.talentscheduling

Class TSLnsMain

java.lang.Object

org.ddolib.examples.talentscheduling.TSLnsMain

public class TSLnsMain
extends Object

Entry point for solving the Talent Scheduling (TalentSched) problem using a Large Neighborhood Search (LNS) approach.

This class reads an instance file describing a talent scheduling problem, constructs an LNS model, and searches for an optimal or near-optimal schedule within a time limit. The best solution found is printed along with runtime statistics.

Usage:

 java TSLnsMain [instanceFilePath]
 

• instanceFilePath (optional): Path to the Talent Scheduling instance file. If omitted, the default instance located at data/TalentScheduling/film-12 is used.

The LNS model is configured with:

• A TSFastLowerBound for efficient lower bound estimation.
• A TSRanking to rank scheduling decisions during the search.

The search is limited to 1000 milliseconds per iteration, and the best solution found is printed to System.out along with detailed statistics.

This implementation does not currently include dominance checks or width heuristics.

Version:

1.0

Author:

Constructor Summary

Constructors

Constructor	Description
TSLnsMain()

Method Summary

Modifier and Type	Method	Description
static void	main(String[] args)	Main method to run the Talent Scheduling LNS solver.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

TSLnsMain

public TSLnsMain()

Method Details

main

public static void main(String[] args)
                 throws IOException

Main method to run the Talent Scheduling LNS solver.

Parameters:

args - optional command-line argument:

• args[0]: path to the Talent Scheduling instance file (default: data/TalentScheduling/film-12)

Throws:

IOException - if there is an error reading the instance file.