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This is a n-queen problem solver using local search algorithms.

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N-Queen problem solver

Description/Descrição:

This is a n-queen problem solver using local search algorithms.

[Pt-Br]: Este é um programa que resolve o problema das n-rainhas utilizando algoritmos de busca local.

Local search algorithms/Algoritmos de busca local:

  • Hill Climbing
  • Hill Climbing with random restart
  • Simulated Annealing

Heuristic/Heurística:

To solve this problem we used as a heuristic the number of pairs of queens attacking each other, either directly or indirectly.

[Pt-Br]: Para resolver este problema utilizou-se como heurística, o número de pares de rainhas se atacando, seja direta ou indiretamente.

Usage/Modo de uso:

python main.py -h
usage: main.py [-h] [-n N] [-i I] [--all {0,1}]

N-queens problem solver by using local search algorithms. Author: Vitor Veras.
Default arguments: -n=8 ; -i=10 ; --all=0

optional arguments:
  -h, --help   show this help message and exit
  -n N         Size of the board
  -i I         Number of iterations
  --all {0,1}  0 = show one solution | 1 = show all solutions

Default output/Saída padrão:

python main.py
python main.py
hill_climbing
 - Hit rate:  2/10	Runtime: 0.038855
. . . . . Q . .
. Q . . . . . .
. . . . . . Q .
Q . . . . . . .
. . Q . . . . .
. . . . Q . . .
. . . . . . . Q
. . . Q . . . .


hc_random_restart
 - Hit rate:  9/10	Runtime: 0.196223
. . . . . . Q .
. Q . . . . . .
. . . Q . . . .
Q . . . . . . .
. . . . . . . Q
. . . . Q . . .
. . Q . . . . .
. . . . . Q . .


simulated_annealing
 - Hit rate: 10/10	Runtime: 0.779093
. . . Q . . . .
. . . . . . Q .
. . Q . . . . .
. . . . . . . Q
. Q . . . . . .
. . . . Q . . .
Q . . . . . . .
. . . . . Q . .

obs: All code comments are in Brazilian Portuguese.

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