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./venv

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.venv/

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import pygad
import numpy as np
global punish_matrix
global start_pos
global end_pos
global shortest_path
def walk_through_maze(solution_matrix):
global punish_matrix, start_pos, end_pos, maze
solution_matrix = solution_matrix.reshape((len(maze), len(maze)))
queue = [[start_pos]]
def add_to_queue(full_path, x, y):
if (x,y) not in full_path:
full_path.append((x, y))
queue.append(full_path)
while queue != []:
full_path = queue.pop()
x, y = full_path[-1]
if(maze[x][y] == 'E'):
return len(full_path)
if x + 1 < len(maze) :
if solution_matrix[x+1, y] == 1:
add_to_queue(full_path, x+1, y)
if x - 1 >= 0:
if solution_matrix[x-1, y] == 1:
add_to_queue(full_path, x-1, y)
if y + 1 < len(maze) :
if solution_matrix[x, y+1] == 1:
add_to_queue(full_path, x, y+1)
if y - 1 >= 0:
if solution_matrix[x, y-1] == 1:
add_to_queue(full_path, x, y-1)
return 42069
def fitness_func(path, solution_idx):
global punish_matrix, start_pos, end_pos, shortest_path
punish = np.sum(path * punish_matrix.reshape(-1))
print('Matrix multiplication', punish)
# chekc if path is valied from start to end
path = path.reshape(len(punish_matrix), len(punish_matrix))
if path[start_pos] == 0:
punish -= 1000
if path[end_pos] == 0:
punish -= 1000
if path[start_pos] == 1 and path[end_pos] == 1:
walk = walk_through_maze(path)
if walk < shortest_path:
punish += 10000
shortest_path = walk
return punish
def run_genetic_algorithm(m, pm, sp, ep):
# Set global punish matrix
global punish_matrix, start_pos, end_pos, maze, shortest_path
punish_matrix = pm
start_pos = sp
end_pos = ep
maze = m
shortest_path = len(maze) *2
fitness_function = fitness_func
num_generations = 500
num_parents_mating = 4
sol_per_pop = 20
num_genes = punish_matrix.size
init_range_low = 0
init_range_high = 1
parent_selection_type = "sss"
keep_parents = 1
crossover_type = "single_point"
mutation_type = "random"
ga_instance = pygad.GA(num_generations=num_generations,
num_parents_mating=num_parents_mating,
fitness_func=fitness_function,
sol_per_pop=sol_per_pop,
num_genes=num_genes,
init_range_low=init_range_low,
init_range_high=init_range_high,
parent_selection_type=parent_selection_type,
keep_parents=keep_parents,
crossover_type=crossover_type,
mutation_type=mutation_type,
mutation_num_genes=2,
gene_space=[0, 1])
ga_instance.run()
solution, solution_fitness, solution_idx = ga_instance.best_solution()
print("Parameters of the best solution : {solution}".format(
solution=solution))
print(solution.reshape(len(maze), len(maze)))
print("Fitness value of the best solution = {solution_fitness}".format(
solution_fitness=solution_fitness))
def read_mazes():
with open('./mazes.r', 'r') as f:
mazes = []
maze = []
for line in f:
if line == '\n':
mazes.append(maze)
maze = []
continue
maze.append(line.strip())
return mazes
def prepare_maze(maze_ix, mazes):
maze = mazes[maze_ix]
punish_matrix_t = np.zeros((len(maze), len(maze)), dtype=np.int64)
start_index_t = 0, 0
end_index_t = 0, 0
for i, x in enumerate(maze):
for j, y in enumerate(x):
if y == "#":
punish_matrix_t[i, j] = -300
if y == ".":
punish_matrix_t[i, j] = +200
if y == "S":
start_index_t = i, j
if y == "E":
end_index_t = i, j
return maze, punish_matrix_t, start_index_t, end_index_t
def print_maze(maze):
for row in maze:
print(row)
def main():
# Read mazes
mazes = read_mazes()
for i in range(1):
maze, punish_matrix_t, start_index_t, end_index_t = prepare_maze(1, mazes)
run_genetic_algorithm(maze, punish_matrix_t, start_index_t, end_index_t)
print_maze(maze)
if __name__ == "__main__":
main()
"""
mutascija -> nesme mutirati u zid
-> more mutirat v start ce tam ni poti
-> more mutirat v end ce tam ni poti
-> ce je na zidu enka mutiri v 0
tresure kdr bo
crossover ->
malo z weights
TRESURE -> spremeni fitrnes mutacijo in crossover
"""

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##E## maze1 = c("##E##",
#...# "#...#",
#...# "#...#",
#S..# "#S..#",
##### "#####")
#####E# maze2 = c("#####E#",
#.#.#.# "#.#.#.#",
#.....# "#.....#",
##.#### "##.####",
#....S# "#....S#",
#.#..## "#.#..##",
####### "#######")
########## maze3 = c("##########",
#S.......# "#S.......#",
########.# "########.#",
#........# "#........#",
#.######## "#.########",
#........# "#........#",
########.# "########.#",
#........# "#........#",
#.######## "#.########",
#E######## "#E########")
#####E#### maze4 = c("#####E####",
#...#....# "#...#....#",
#.######.# "#.######.#",
#.#......# "#.#......#",
#.###.#### "#.###.####",
#....S...# "#....S...#",
#####.##.# "#####.##.#",
#..##.#### "#..##.####",
##.......# "##.......#",
########## "##########")
###E########### maze5 = c("###E###########",
#........###..# "#........###..#",
########.....## "########.....##",
#.....##.###.## "#.....##.###.##",
#.###.....##..# "#.###.....##..#",
#.....###...### "#.....###...###",
####.####.#.### "####.####.#.###",
##......#.....# "##......#.....#",
#######.#.###.# "#######.#.###.#",
#.........##### "#.........#####",
#.####.S#....## "#.####.S#....##",
##....#.####### "##....#.#######",
#..##.........# "#..##.........#",
##...###.##.### "##...###.##.###",
############### "###############")
################## maze6 = c("##################",
##...#####...##### "##...#####...#####",
##.#.##....#.....# "##.#.##....#.....#",
##.S....##...###.# "##.S....##...###.#",
###.####.#.#.....# "###.####.#.#.....#",
#........#.##.#### "#........#.##.####",
##.#######......## "##.#######......##",
##......########## "##......##########",
#####.####....##.# "#####.####....##.#",
##.........##..#.# "##.........##..#.#",
#######.#####.##.# "#######.#####.##.#",
####.##.##.....#.# "####.##.##.....#.#",
####.##.########.# "####.##.########.#",
#................# "#................#",
#..############### "#..###############",
##.#.##.#.##.##.## "##.#.##.#.##.##.##",
##...............# "##...............#",
##########E####### "##########E#######")
#################### maze7 = c("####################",
#..................# "#..................#",
#.##############.### "#.##############.###",
#.########.......### "#.########.......###",
#.#........######..# "#.#........######..#",
#.##.##.##........## "#.##.##.##........##",
#.#...#.##.######.## "#.#...#.##.######.##",
#.###.#.##.....##.## "#.###.#.##.....##.##",
#.###..##########.## "#.###..##########.##",
#.####.###.........# "#.####.###.........#",
#.#....#...####.#### "#.#....#...####.####",
#.#.####.####.....## "#.#.####.####.....##",
#.#......#......#### "#.#......#......####",
#.###.####.#####...# "#.###.####.#####...#",
#.#......#.....#.### "#.#......#.....#.###",
#.######...#####.#.# "#.######...#####.#.#",
#.#.....##S#...#.#.# "#.#.....##S#...#.#.#",
#.#########..#.....# "#.#########..#.....#",
#..........###.##.## "#..........###.##.##",
##########E######### "##########E#########")
##########
#S.......#
########.#
#..T.....#
#.########
#........#
########.#
#..T.....#
#.########
#E########
#####E#### maze3_T = c("##########",
#...#....# "#S.......#",
#.######.# "########.#",
#.#T.....# "#..T.....#",
#.###.#### "#.########",
#....S...# "#........#",
#####.##.# "########.#",
#..##.#### "#..T.....#",
##....T..# "#.########",
########## "#E########")
###E########### maze4_T = c("#####E####",
#........###..# "#...#....#",
########.....## "#.######.#",
#..T..##.###.## "#.#T.....#",
#.###.....##..# "#.###.####",
#.....###...### "#....S...#",
####.####.#.### "#####.##.#",
##......#.....# "#..##.####",
#######.#.###.# "##....T..#",
#.........##### "##########")
#.####.S#....##
##....#.#######
#..##T........#
##...###.##.###
###############
#################### maze5_T = c("###E###########",
#..................# "#........###..#",
#.##############.### "########.....##",
#.########.......### "#..T..##.###.##",
#.#.T......######..# "#.###.....##..#",
#.##.##.##........## "#.....###...###",
#.#...#.##.######.## "####.####.#.###",
#.###.#.##....T##.## "##......#.....#",
#.###..##########.## "#######.#.###.#",
#.####.###.........# "#.........#####",
#.#....#...####.#### "#.####.S#....##",
#.#.####.####.....## "##....#.#######",
#.#......#......#### "#..##T........#",
#.###.####.#####...# "##...###.##.###",
#.#T.....#.....#.### "###############")
#.######...#####.#.#
#.#.....##S....#.#.#
#.#########..#...T.# maze7_T = c("####################",
#..........###.##.## "#..................#",
##########E######### "#.##############.###",
"#.########.......###",
"#.#.T......######..#",
"#.##.##.##........##",
"#.#...#.##.######.##",
"#.###.#.##....T##.##",
"#.###..##########.##",
"#.####.###.........#",
"#.#....#...####.####",
"#.#.####.####.....##",
"#.#......#......####",
"#.###.####.#####...#",
"#.#T.....#.....#.###",
"#.######...#####.#.#",
"#.#.....##S....#.#.#",
"#.#########..#...T.#",
"#..........###.##.##",
"##########E#########")