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SardineCan

SardineCan is a humble 3D knapsack / bin packing solver with some special constraints. It is a collection of constructive heuristics, meta-heuristic attempts and linear models with CPLEX & Gurobi bindings.

sample screenshot

Outline

  • SC.Service
    • Jobmanager/runner as a RESTful service for integration with other applications
  • SC.GUI
    • GUI for experimenting with the algorithms and rendering instances
  • SC.CLI
    • Command-line interface with a JSON-in/JSON-out style

Quickstart

Spin it up (requires docker):

docker run -d --restart always -p 4550:80 --name sardinecan ghcr.io/merschformann/sardinecan:latest

Swagger UI description of the RESTful service can be found here (or at the port of your choice): http://localhost:4550/swagger

Remarks

The code mainly derives from my (Marius Merschformann) master thesis (2014) and was primarily uploaded to enable colleagues to use it for their projects. However, it would be great, if it is useful to even more people. :)

Gurobi & CPLEX support

Unfortunately, I cannot ship the Gurobi and CPLEX libraries with the code. I made an attempt of not relying on these during compile time by moving them to a Nuget package (Atto.LinearWrap). Even though this part works, I had some issues when supplying the dlls later on. Let me know, if you have ideas how to overcome this.

I hope I can provide a solution for all who have access to Gurobi and/or CPLEX in the future, so that the model formulations can also be tested.

Contributors

The code mainly originated from the master-thesis of Marius Merschformann (2014). Find a copy here.

The implementations around pre-processing were done by Daniel Erdmann and Simon Moss during a university project. Further work on ALNS & some further extensions were done in collaboration with Daniela Guericke.