def prepare_sim_ann():
global solver, board_data
basic_prepare()
prepare_generator()
board = ChessBoard.load_board(board_data)
solver = SolverModelFactory.create_model("simulated_annealing", board,
generator)
def generate_population(self, orders):
for _ in range(self.population_count):
chess_board = ChessBoard.load_board(orders)
individual = Individual(chess_board)
self.population.append(individual)
def prepare_full_hill():
global solver, board_data
basic_prepare()
board = ChessBoard.load_board(board_data)
solver = SolverModelFactory.create_model("full_scan_hill_climbing", board)
