Protecting graphs under multiple simultaneous attacks: a heuristic approach
Project description
General
This repo contains the implementation, instances and results of the paper 'Protecting graphs under multiple simultaneous attacks: a heuristic approach' by Marko Djukanovic, Stefan Kapunac, Aleksandar Kartelj and Dragan Matic.
Original implementation is in C++ and can be compiled using the Makefile.
We also created Python bindings using the Pybind11 library.
For a quickstart see this Colab notebook.
Installation
pip install ksrdp
Minimal working example
import ksrdp
def test_greedy(in_file_path: str, num_attacks: int) -> None:
neighbors = ksrdp.read_instance(in_file_path)
solution, value = ksrdp.greedy_uncovered(neighbors, num_attacks)
print(f'greedy solution: {solution}, value: {value}')
def test_vns(in_file_path: str, num_attacks: int, vns_params: dict) -> None:
neighbors = ksrdp.read_instance(in_file_path)
solution, fitness, iter, end_time, best_found_time = ksrdp.vns(
neighbors,
vns_params['comb_take_all_bound'],
vns_params['comb_intense_max'],
vns_params['comb_lightweight_max'],
num_attacks,
vns_params['time_limit'],
vns_params['iter_limit'],
vns_params['k_min'],
vns_params['k_max'],
vns_params['move_prob'],
vns_params['tries'],
vns_params['num_alternatives_cutoff'],
# verbose=True,
)
print(f'vns solution: {solution}, fitness: {fitness}, iter: {iter}, end_time: {end_time}, best_found_time: {best_found_time}')
def main():
# help(ksrdp)
in_file_path = '../instances/random/10_1.txt'
num_attacks = 2
test_greedy(in_file_path, num_attacks)
vns_params = {
'comb_take_all_bound': 100_000,
'comb_intense_max': 10_000_000,
'comb_lightweight_max': 10_000,
'time_limit': 60,
'iter_limit': 5000,
'k_min': 1,
'k_max': 10,
'move_prob': 0.5,
'tries': 10,
'num_alternatives_cutoff': 100,
}
test_vns(in_file_path, num_attacks, vns_params)
if __name__ == '__main__':
main()
License
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file ksrdp-0.0.2.tar.gz.
File metadata
- Download URL: ksrdp-0.0.2.tar.gz
- Upload date:
- Size: 9.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.8.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b86bf31e696114f7f0baf5160984cd4805170901792f612f548d3bb07a17c360
|
|
| MD5 |
6f6013d985c51c8caea9545905bfbdd3
|
|
| BLAKE2b-256 |
f4a4efe7ad81ca2f4d5d62bbbc21b2def5737daf11718140c4e30e71bc62ef9c
|
File details
Details for the file ksrdp-0.0.2-cp38-cp38-manylinux_2_34_x86_64.whl.
File metadata
- Download URL: ksrdp-0.0.2-cp38-cp38-manylinux_2_34_x86_64.whl
- Upload date:
- Size: 119.9 kB
- Tags: CPython 3.8, manylinux: glibc 2.34+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.8.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1ea01da0a6e6487edebfe36b1898057e66c6f420ed68a284fd33e8493ace7102
|
|
| MD5 |
efee2f15f5038716e394873b0a08ae8c
|
|
| BLAKE2b-256 |
b695345d84183665c07eaebd294f66c4e13c5ff87c615d4465e518b078fcfc8e
|