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k-disjoint shortest path algorithm in C++

A reimplementation of the k-disjoint shortest path algorithm used in Schiffer et al. (2021)

Schiffer, M., Hiermann, G., Rüdel, F., and Walther, G (2021). A polynomial-time algorithm for user-based relocation in free-floating car sharing systems, Transportation Research Part B: Methodological 143, 65-85.

to solve a car sharing relocation problem with flexible requests (CSRP-FR) arising in free-floating car sharing systems. Note that this implementation solves the node-disjoint variant of the k-dSP problem using the procedure proposed by Suurballe (1978).

Project structure

  • /benchmark/ small benchmarks using google/benchmark
  • /catch2_tests/ set of unit tests using catch2 to verify basic functionality
  • /instances/ contains a subset of instances based on the CSRP-FR instances from the artificial benchmark set
  • /include/kdisjoint.hpp main algorithm and graph implementation
  • /src/main.cpp simple cli to run the instance files in /instances/

Installation

This project uses CMake buildsystem generator, and CPM for dependency management. It provides three targets: kdsp-cpp, catch2_tests, and benchmarks. The main target is kdsp-cpp, which builds a CLI application to solve a kdsp problem for instances located in /instances/.

The code uses features from the C++17 standard and was tested on Windows 11, using MSVC 14.35, and Ubuntu 20.04 LTS via WSL, using GNU GCC 9.4.

How to run

  • Windows: kdsp-cpp.exe -i ./instances/ffcs_bench_wd_B300_SNone_2000jobs_750cars.dat
  • Linux: kdsp-cpp -i ./instances/ffcs_bench_wd_B300_SNone_2000jobs_750cars.dat

This should result an output similar to the following:

[2024-09-10 20:14:47.596] [info] reading instance from ./instances/ffcs_bench_wd_B300_SNone_2000jobs_750cars.dat
[2024-09-10 20:14:47.760] [info] start k-disjoint shortest path
[2024-09-10 20:14:48.542] [info] finished k-disjoint shortest path after 781ms
706,-17279000,781

The last line contains the number of ks, the total cost values of the k-shortest paths found, and the runtime in milliseconds. Note that the implementation can handle negative arc costs; however, the graph must not contain negative cost cycles.