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Could anybody familiar with JEPLUS+EA explain in detail how to define constraints for an optimization run. Below you see the RVX example.

I do not really understand what is meant by feasible range [0, 100000.0] and normalized between [0.0, 400000.0] The RVX code for the constraint definition is:

"constraints" : [
    {
        "identifier" : "s1",
        "formula" : "(c0+c1)/1000/3600",
        "caption" : "Electricity [kWh]",
        "scaling" : true,
        "lb" : "0",
        "ub" : "100000",
        "min" : "0",
        "max" : "400000",
        "weight" : "1.0"
    }
],

Could anybody familiar with JEPLUS+EA explain in detail how to define constraints for an optimization run. Below you see the RVX example.

I do not really understand what is meant by feasible range [0, 100000.0] and normalized between [0.0, 400000.0] The RVX code for the constraint definition is:

"constraints" : [
    {
        "identifier" : "s1",
        "formula" : "(c0+c1)/1000/3600",
        "caption" : "Electricity [kWh]",
        "scaling" : true,
        "lb" : "0",
        "ub" : "100000",
        "min" : "0",
        "max" : "400000",
        "weight" : "1.0"
    }
],

Could anybody familiar with JEPLUS+EA explain in detail how to define constraints for an optimization run. Below you see the RVX example.

I do not really understand what is meant by feasible range [0, 100000.0] and normalized between [0.0, 400000.0] The RVX code for the constraint definition is:

"constraints" : [
    {
        "identifier" : "s1",
        "formula" : "(c0+c1)/1000/3600",
        "caption" : "Electricity [kWh]",
        "scaling" : true,
        "lb" : "0",
        "ub" : "100000",
        "min" : "0",
        "max" : "400000",
        "weight" : "1.0"
    }
],