# Code written by Andy Huchala # Computes a(n) for OEIS A002564 # (the number of ways to arrange a minimal number # of queens which threaten all tiles on an n x n chessboard) # Requires installing cplex # Select board size (n>1) n = 4 MAX_VALUE = 40000 # upper bound on a(n) PRINT_SOLUTION = True # whether or not to print the objective and an example solution from docplex.mp.model import Model import cplex # this function ripped from https://stackoverflow.com/questions/60759169/how-to-increase-number-of-cplex-solutions def generate_soln_pool(mdl): cpx = mdl.get_cplex() cpx.parameters.mip.pool.intensity.set(4) cpx.parameters.mip.pool.absgap.set(0.1) cpx.parameters.mip.pool.relgap.set(0.1) cpx.parameters.mip.limits.populate.set(MAX_VALUE) try: cpx.populate_solution_pool() except CplexSolverError: print("Exception raised during populate") return [] numsol = cpx.solution.pool.get_num() print(numsol) nb_vars = mdl.number_of_variables sol_pool = [] for i in range(numsol): x_i = cpx.solution.pool.get_values(i) assert len(x_i) == nb_vars sol = mdl.new_solution() for k in range(nb_vars): vk = mdl.get_var_by_index(k) sol.add_var_value(vk, x_i[k]) sol_pool.append(sol) return sol_pool im = Model(name='ip_number_queens') for j in range(n): for i in range(n): exec("x_" + str(j) + "_" + str(i) + " = im.integer_var(name= \"" + "x_" + str(j) + "_" + str(i) + "\")") s = "x_0_0" for j in range(n): for i in range(n): if i + j != 0: s += "+ x_"+ str(j) + "_" + str(i) exec("im.minimize(" + s + ")") for j in range(n): for i in range(n): exec("im.add_constraint(x_" + str(j) + "_" + str(i) + " <= 1)") exec("im.add_constraint(x_" + str(j) + "_" + str(i) + " >= 0)") s = "im.add_constraint(" s += "x_" + str(j) + "_" + str(i) + "+" for k in range(n): if k != j: s += "x_" + str(k) + "_" + str(i) + "+" if k != i: s += "x_" + str(j) + "_" + str(k) + "+" if i-j+k>=0 and i-j+k=0 and 2*i-(i-j+k)=1)") im.solve() if PRINT_SOLUTION: im.print_solution() print(len(generate_soln_pool(im)))