flee-release

Public releases of the FLEE agent-based modelling code.

https://github.com/djgroen/flee-release

Science Score: 31.0%

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    Low similarity (8.5%) to scientific vocabulary

Keywords

agent-based-modeling agent-based-simulation python3 refugees simulation-environment
Last synced: 6 months ago · JSON representation ·

Repository

Public releases of the FLEE agent-based modelling code.

Basic Info
  • Host: GitHub
  • Owner: djgroen
  • License: bsd-3-clause
  • Language: Python
  • Default Branch: master
  • Size: 4.86 MB
Statistics
  • Stars: 19
  • Watchers: 7
  • Forks: 12
  • Open Issues: 0
  • Releases: 2
Topics
agent-based-modeling agent-based-simulation python3 refugees simulation-environment
Created over 8 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

NOTE: This version is now obsolete. Please refer to https://www.github.com/djgroen/flee or https://flee.readthedocs.io for the latest releases,

Flee

Flee is an agent-based modelling toolkit which is purpose-built for simulating the movement of individuals across geographical locations. Flee is currently used primarily for modelling the movements of refugees and internally displaces persons (IDPs).

Flee is currently is released periodically under a BSD 3-clause license once the first journal paper is accepted.

Parallel performance testing

Parallel tests can be performed using test_par.py. The interface is as follows:

mpirun -np python3 test_par.py [options]

Options can be as follows:

  • "-p", "--parallelmode" - Parallelization mode ([advanced], classic, cl-hilat OR adv-lowlat).
  • "-N", "--initialagents" - Number of agents at the start of the simulation [100000].
  • "-d", "--newagentsperstep", Number of agents added per time step [1000].
  • "-t", "--simulationperiod", Duration of the simulation in days [10].

Here are a few settings good for benchmarking:

  • mpirun -np <cores> python3 test_par.py -N 500000 -p advanced -d 10000 -t 10
  • mpirun -np <cores> python3 test_par.py -N 500000 -p classic -d 10000 -t 10
  • mpirun -np <cores> python3 test_par.py -N 500000 -p cl-hilat -d 10000 -t 10
  • mpirun -np <cores> python3 test_par.py -N 500000 -p adv-lowlat -d 10000 -t 10

Acknowledgements

The development on Flee has been made possible through funding from the Horizon 2020 funded HiDALGO project (grant no. 824115, https://hidalgo-project.eu) and VECMA (grant no. 800925, https://www.vecma.eu).

Owner

  • Name: Derek Groen
  • Login: djgroen
  • Kind: user
  • Location: London, United Kingdom
  • Company: Brunel University London

Reader in Simulation and Modelling at Brunel University London. Visiting Lecturer at UCL. Proud to (still) code!

Citation (CITATION)

At this time, when using FLEE as part of a publication, please cite the first journal publication that presented the FLEE code.

BibTex:
@article{suleimenova2017generalized,
  title={A generalized simulation development approach for predicting refugee destinations},
  author={Suleimenova, Diana and Bell, David and Groen, Derek},
  journal={Scientific reports},
  volume={7},
  number={1},
  pages={13377},
  year={2017},
  publisher={Nature Publishing Group}
}

Plain Text (Harvard style):
Suleimenova, D., Bell, D. and Groen, D., 2017. A generalized simulation development approach for predicting refugee destinations. Scientific reports, 7(1), p.13377.

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