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Team Supernatural Computing's repository for the Natural Computing 2019 project at Radboud University: using Ant Colony Optimization to approach the travelling thief problem

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supernatural-computing

Repository for team SuperNatural's Natural Computing 2019 Project, for the GECCO 2019 Bi-objective Traveling Thief Competition.

WARNING: this program uses a lot of time, threads and memory, especially for the larger problems.

Build and run using the following commands (JDK 1.8) in the src/main/java/ folder:

javac Runner.java
java Runner

You might have to supply the extra command line option -Xms -Xmx -Xss to give the program more memory e.g.:

java -Xms50G -Xmx400G -Xss5G

Additional libraries can be added as JAR files by supplying the following arguments to the compile and run commands:

-cp {path/to/jar}:.

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Team Supernatural Computing's repository for the Natural Computing 2019 project at Radboud University: using Ant Colony Optimization to approach the travelling thief problem

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