Added simulink evaluation config file

* Fix an unnecessary log in MatlabEngine singleton
* Issue #30

Author: Ezetowers

MLC/matlab_engine.py

@@ -35,6 +35,6 @@ def engine():
             MatlabEngine._engine_instance.addpath(matlab_code_dir)
             MatlabEngine._engine_instance.addpath(os.path.join(matlab_code_dir, "MLC_tools"))
             MatlabEngine._engine_instance.addpath(os.path.join(matlab_code_dir, "MLC_tools/Demo"))
+            lg.logger_.info("[MATLAB_ENGINE] MATLAB environment loaded succesfully.")
 
-        lg.logger_.info("[MATLAB_ENGINE] MATLAB environment loaded succesfully.")
         return MatlabEngine._engine_instance

conf/configuration_simulink_ev.ini

@@ -0,0 +1,122 @@
+[LOGGING]
+logmode = file
+
+[POPULATION]
+# Population size. This paramater can be a number or a numpy array
+size = 50
+sensors = 1
+sensor_spec = false
+sensor_list = 1,5,2,4
+controls = 1
+sensor_prob = 0.33
+leaf_prob = 0.3
+range = 10
+precision = 4
+# Numpy arrange
+opsetrange = 1:4
+end_character =
+individual_type = tree
+
+[GP]
+# GP algortihm (CHANGE IF YOU KNOW WHAT YOU DO)
+maxdepth = 15
+maxdepthfirst = 5
+mindepth = 2
+mutmindepth = 2
+mutmaxdepth = 15
+mutsubtreemindepth = 2
+generation_method = mixed_ramped_gauss
+gaussigma = 3
+# Numpy arange
+ramp = 2:9
+maxtries = 10
+mutation_types = 1:5
+
+[OPTIMIZATION]
+#  Optimization parameters
+elitism = 10
+probrep = 0.1
+probmut = 0.4
+probcro = 0.5
+selectionmethod = tournament
+tournamentsize = 7
+lookforduplicates = true
+simplify = false
+# Numpy array
+cascade = 1,1
+
+[EVALUATOR]
+#  Evaluator
+# evaluation_method = standalone_function
+# evaluation_method = standalone_files
+evaluation_method = mfile_standalone
+
+# evaluation_function = toy_problem
+# evaluation_function = toy_problem_python_ev
+evaluation_function = simulink_ev
+
+# evaluation_function = arduino
+indfile = ind.dat
+Jfile = J.dat
+# exchangedir = fullfile(pwd,evaluator0)
+evaluate_all = 0
+ev_again_best = false
+ev_again_nb = 5
+ev_again_times = 5
+artificialnoise = 0
+execute_before_evaluation =
+badvalue = 1e36
+badvalues_elim = first
+%badvalues_elim = none
+%badvalues_elim = all
+preevaluation = true
+preev_function = simulink_preev
+problem_variables.gamma = 0.1
+
+[BEHAVIOUR]
+## MLC behaviour
+save = 1
+saveincomplete = 1
+verbose = 2
+fgen = 250
+savedir = mlc_simulation.db
+stopongraph = false
+showeveryitbest = true
+
+[ARDUINO]
+baudrate = 115200
+port= /dev/ttyACM0
+command_opcode = 1
+# Time in microseconds
+wait_period = 10000
+# Time in seconds
+read_timeout = 5.0
+read_retries = 2
+
+[PROBLEM_VARIABLES]
+# Frequency of the signal, not pulsation
+signal_frequency = 1
+# Offset (Amplitude) of the signal
+signal_offset = 1.65
+#
+sampling_resolution = 0.001
+#
+amount_periods = 2
+#
+signal_amplitude = 1
+# Name of the Simulink Model to be used
+model_name = arduino_expe
+# Path to be added to MATLAB in order to run the Simulink Model
+model_path = /home/etorres/Facultad/TP_Profesional/MLC_simulink_Arduino
+# Gamma
+gamma = 0.1
+
+# This variables are used just in this experiment
+sensor_source = signal_to_cancel
+# sensor_source = difference
+
+# goal = kill_perturbation
+goal = kill_signal
+
+# summator_gain = 1
+summator_gain = -1