EV_list_Astar_time = copy.deepcopy(EV_list)
CS_list_Astar_time = copy.deepcopy(CS_list)
ta.every_time_check_refer_time(EV_list_Astar_time, CS_list_Astar_time,
graph)
EV_list_Astar_shortest = copy.deepcopy(EV_list)
CS_list_Astar_shortest = copy.deepcopy(CS_list)
ta.every_time_check_refer_shortest(EV_list_Astar_shortest,
CS_list_Astar_shortest, graph)
# ta.sim_result_text_ref(i, CS_list, graph, resultdir, EV_list_DQN_REF=EV_list_DQN_REF, EV_list_Astar_ref=EV_list_Astar_ref, EV_list_Astar_shortest=EV_list_Astar_shortest)
ta.sim_result_text_last(i,
CS_list,
graph,
resultdir,
EV_list_DQN_REF=EV_list_DQN_REF,
EV_list_Astar_ref=EV_list_Astar_ref,
EV_list_optimal_ref=EV_list_optimal_ref,
EV_list_Astar_shortest=EV_list_Astar_shortest)
ta.sim_result_general_presentation_last(
i,
graph,
resultdir,
npev,
EV_list_DQN_REF=EV_list_DQN_REF,
EV_list_Astar_ref=EV_list_Astar_ref,
EV_list_optimal_ref=EV_list_optimal_ref)
# ta.sim_result_general_presentation_ref(i, graph, resultdir, npev, EV_list_DQN_REF=EV_list_DQN_REF,EV_list_Astar_ref=EV_list_Astar_ref, EV_list_Astar_shortest=EV_list_Astar_shortest)
# ta.sim_result_general_presentation_ref(i, graph, resultdir, npev, EV_list_Astar_time=EV_list_Astar_time,EV_list_Astar_ref=EV_list_Astar_ref, EV_list_Astar_shortest=EV_list_Astar_shortest)
EV_list_Greedy_short = copy.deepcopy(EV_list)
CS_list_Greedy_short = copy.deepcopy(CS_list)
ta.greedy_shortest_search(EV_list_Greedy_short, CS_list_Greedy_short,
graph_test)
#
# EV_list_optimal_ref = copy.deepcopy(EV_list)
# CS_list_optimal_ref = copy.deepcopy(CS_list)
# EV_list_optimal_ref = ta.optimal_solution(EV_list_optimal_ref, CS_list_optimal_ref, graph_test)
#
# EV_list_Astar_time = copy.deepcopy(EV_list)
# CS_list_Astar_time = copy.deepcopy(CS_list)
# ta.every_time_check_refer_time(EV_list_Astar_time, CS_list_Astar_time, graph)
#
# EV_list_Astar_shortest = copy.deepcopy(EV_list)
# CS_list_Astar_shortest = copy.deepcopy(CS_list)
# ta.every_time_check_refer_shortest(EV_list_Astar_shortest, CS_list_Astar_shortest, graph)
# ta.sim_result_text_ref(i, CS_list, graph, resultdir, EV_list_DQN_REF=EV_list_DQN_REF, EV_list_Astar_ref=EV_list_Astar_ref, EV_list_Astar_shortest=EV_list_Astar_shortest)
ta.sim_result_text_last(i,
CS_list,
graph_test,
resultdir,
EV_list_DQN_REF=EV_list_DQN_REF,
EV_list_Greedy=EV_list_Greedy,
EV_list_Greedy_short=EV_list_Greedy_short)
# ta.sim_result_general_presentation_ref(i, graph, resultdir, npev, EV_list_DQN_REF=EV_list_DQN_REF, EV_list_Greedy=EV_list_Greedy)
# ta.sim_result_general_presentation_ref(i, graph, resultdir, npev, EV_list_DQN_REF=EV_list_DQN_REF,EV_list_Astar_ref=EV_list_Astar_ref, EV_list_Astar_shortest=EV_list_Astar_shortest)
# ta.sim_result_general_presentation_ref(i, graph, resultdir, npev, EV_list_Astar_time=EV_list_Astar_time,EV_list_Astar_ref=EV_list_Astar_ref, EV_list_Astar_shortest=EV_list_Astar_shortest)
fig = plt.gcf()
fig.savefig('{}/train step.png'.format(resultdir), facecolor='#eeeeee', dpi=300)
plt.clf()
############################### performance evaluation #############
for i in range(5):
npev=39
EV_list, CS_list, graph = gen_test_envir_simple(npev)
agent.epsilon = 0
env = Env(graph, state_size, action_size)
EV_list_DQN_REF = copy.deepcopy(EV_list)
CS_list_DQN_REF = copy.deepcopy(CS_list)
test_dqn(EV_list_DQN_REF, CS_list_DQN_REF, graph, env, agent)
EV_list_Astar_ref = copy.deepcopy(EV_list)
CS_list_Astar_ref = copy.deepcopy(CS_list)
ta.every_time_check_refer(EV_list_Astar_ref, CS_list_Astar_ref, graph)
EV_list_Astar_shortest = copy.deepcopy(EV_list)
CS_list_Astar_shortest = copy.deepcopy(CS_list)
ta.every_time_check_refer_shortest(EV_list_Astar_shortest, CS_list_Astar_shortest, graph)
ta.sim_result_text_last(i, resultdir, EV_list_DQN_REF=EV_list_DQN_REF, EV_list_Astar_ref=EV_list_Astar_ref, EV_list_Astar_shortest=EV_list_Astar_shortest)
ta.sim_result_general_presentation_last(i, graph, resultdir, npev, EV_list_DQN_REF=EV_list_DQN_REF, EV_list_Astar_ref=EV_list_Astar_ref, EV_list_Astar_shortest=EV_list_Astar_shortest)