# Heuristic methods for JobShop scheduling This repository contains the starter code for the assignment. ## Working in IntelliJ For working on this project, we recommend using the IntelliJ-IDEA development environment. It is available in INSA's classrooms as well as on `montp.insa-toulouse.fr`. To import the project in IntelliJ (once IntelliJ is running): - Open a new project : `Open project` or `File > Open` - Select the `gradle.build` file in the cloned repository. - Select `Open as project`. To run the program in IntelliJ, you can - Right click on the `src/main/java/Jobshop/Main` class in the project view. - Select `Run Main.main()`. It should complain that some arguments are missing. - Give it the expected command line arguments : `Run > Edit Configuration`, then fill in the `Program arguments` text box. ## Working on the command line (Gradle) Compilation instructions are given for Linux. On Windows you can use the `gradlew.bat` script (but you are on your own). ``` ❯ ./gradlew build # Compiles the project ``` The project can be executed directly with `gradle` by specifying the arguments like so : ``` ❯ ./gradlew run --args="--solver basic random --instance aaa1 ft" ``` You can also build an executable jar file, and run it with the java command. This is especially useful if you want to run it on another machine. ``` # Create a jar file with all dependencies in build/libs/JSP.jar ❯ ./gradlew jar # Run the jar file. Only requires a Java Runtime Environment (JRE) ❯ java -jar build/libs/JSP.jar --solver basic --instance ft06 ``` The command line above indicates that we want to solve the instance named`ft06` with the `basic` solver. It should give an output like the following : ``` basic instance size best runtime makespan ecart ft06 6x6 55 1 60 9.1 AVG - - 1.0 - 9.1 ``` Fields in the result view are the following : - `instance`: name of the instance - `size`: size of the instance `{num-jobs}x{num-tasks}` - `best`: best known resultfor this instance - `runtime`: time taken by the solver in milliseconds (rounded) - `makespan`: makespan of the solution - `ecart`: normalized distance to the best result: `100 * (makespan - best) / best` One can also specify multiple solvers (below `basic` and `random`) and instances (below `ft06`, `ft10` and `ft20`) for simultaneous testing: ``` ❯ java -jar build/libs/JSP.jar --solver basic random --instance ft06 ft10 ft20 basic random instance size best runtime makespan ecart runtime makespan ecart ft06 6x6 55 1 60 9.1 999 55 0.0 ft10 10x10 930 0 1319 41.8 999 1209 30.0 ft20 20x5 1165 0 1672 43.5 999 1529 31.2 AVG - - 0.3 - 31.5 999.0 - 20.4 ``` Here the last line give the average `runtime` and `ecart` for each solver. ``` sage: jsp-solver [-h] [-t TIMEOUT] --solver SOLVER [SOLVER ...] --instance INSTANCE [INSTANCE ...] Solves jobshop problems. named arguments: -h, --help show this help message and exit -t TIMEOUT, --timeout TIMEOUT Solver timeout in seconds for each instance. (default: 1) --solver SOLVER [SOLVER ...] Solver(s) to use (space separated if more than one) --instance INSTANCE [INSTANCE ...] Instance(s) to solve (space separated if more than one). All instances starting with the given String will be selected. (e.g. "ft" will select the instances ft06, ft10 and ft20. ``` ## IDE Support Most IDEs should provide support for importing gradle projects. However, our experience has been best with IntelliJ so far and we would recommend it. #### IntelliJ IntelliJ has worked best, with out of the box support for the import of gradle projets: https://www.jetbrains.com/help/idea/gradle.html#gradle_import_project_start #### Eclipse Most technical problems have been related to the use of Eclipse so we don't recommend using it unless you have a good reason to. We have however configured gradle to allow generating an eclipse configuration like so : ``` ./gradlew eclipseClean eclipse ```