bbox7 {CompModels} | R Documentation |
A black-box computer model
Description
A black-box computer model that evaluates the objective and constraint functions for a given input value.
Usage
bbox7(x1, x2, x3, x4, x5, x6, x7, x8)
Arguments
x1 |
A scalar value between 0 and 1, inclusive |
x2 |
A scalar value between 0 and 1, inclusive |
x3 |
A scalar value between 0 and 1, inclusive |
x4 |
A scalar value between 0 and 1, inclusive |
x5 |
A scalar value between 0 and 1, inclusive |
x6 |
A scalar value between 0 and 1, inclusive |
x7 |
A scalar value between 0 and 1, inclusive |
x8 |
A scalar value between 0 and 1, inclusive |
Value
The evaluation of running the black-box computer model at input (x1, x2, x3, x4, x5, x6, x7, x8).
obj: A scalar objective function value
con: A vector of constraint function values
Note
A solution is feasible only if all of the constraint function values are less than or equal to 0.
Examples
### Running the black-box computer model at x1 = 0, x2 = 0, x3 = 0, x4 = 0,
### x5 = 0, x6 = 0, x7 = 0, x8 = 0
### obj = 1 and con = (0.2,-0.8)
### (x1,x2,x3,x4,x5,x6,x7,x8) = (0,0,0,0,0,0,0,0) is not a feasible solution
bbox7(0,0,0,0,0,0,0,0)
[Package CompModels version 0.3.0 Index]