CurrinExp

In this example we show how to use HyperMapper to optimize a CurrinExp function. We look for minimizing the value of this function given two parameters x1, x2.

The Objective Function

The CurrinExp objective function can be defined as:

factor1 = 1 - math.exp(-1/(2*x2))
factor2 = 2300*x1*x1*x1 + 1900*x1*x1 + 2092*x1 + 60
factor3 = 100*x1*x1*x1 + 500*x1*x1 + 4*x1 + 20
y_value = factor1*factor2/factor3

An example of this code can be found in currinexp.py, together with the communication interface between CurrinExp and HyperMapper.

The JSON Configuration File

The json configuration file for this example is:

{
    "application_name": "currinexp",
    "optimization_objectives": ["Value"],
    "optimization_iterations": 50,
    "input_parameters" : {
        "x1": {
            "parameter_type" : "ordinal",
            "values" : [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1],
            "parameter_default" : 0
        },
        "x2": {
            "parameter_type" : "ordinal",
            "values" : [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1],
            "parameter_default" : 0.1
        }
    }
}

You can find all parameter types supported by HyperMapper here.

You can find this json in currinexp_scenario.json.

Run HyperMapper

In order to run this example, we use:

python3 example_scenarios/synthetic/currinexp/currinexp.py

An example of stdout output can be found here.

The result of this script is a csv file called currinexp_output_dse_samples.csv.