Googling the "exhaustive search algorithm", you will see what is it. It looks like you have to generate all x points for which you'll evaluate the objective function and take the one with the minimum objective function.
exhaustive search algorithm problem
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hi all
what is the code that find the optimum value between a group of values arranged on an array of size 1x12 that satisfy 2 inequality constraints using exhaustive search method
i want to minimize F(x) using exhaustive search algorithm
x = P_mcr
F = P_mcr * Cost
Array = [3060 3900 4080 5200 5440 4880 6100 7320 8540 9760 3480 4060
]
Cost = [1000 2000 3000 1000 3453 5466 322 6747 7574 3626 7987 3278];
F = P_mcr * Cost
P = [ 9083 4304 3840 4689 3480 2421];
[c, ceq] = constraint(x)
ceq(1) = P - P_mcr * eta_mech
ceq(2) = P_mcr * eta_mech- P - 500
c = []
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