Description Details Author(s) References See Also
essR attempts to solve problems of the form:
min F(x) subject to:
x
ceq(x) = 0 (equality constraints)
c_L <= c(x) <= c_U (inequality constraints)
x_L <= x <= x_U (bounds on the decision variables)
Constraint functions, if applicable, must be declared in the same script as the objective function as a second output argument, e.g.:
myfunction <- function(x){
calculate fx - scalar containing the objective function value
calculate gx - vector (or empty) containing the constraints values
return(list(fx,gx))
}
Package: | MEIGOR |
Type: | Package |
Version: | 0.99.6 |
Date: | 2012-02-04 |
License: | GPL-3 |
LazyLoad: | yes |
Jose Egea David Henriques Thomas Cokelaer Alejandro F. Villaverde Julio R. Banga Julio Saez-Rodriguez
Maintainer:Jose Egea <josea.egea@upct.es>
Egea, J.A., Maria, R., Banga, J.R. (2010) An evolutionary method for complex-process optimization. Computers & Operations Research 37(2): 315-324.
Egea, J.A., Balsa-Canto, E., Garcia, M.S.G., Banga, J.R. (2009) Dynamic optimization of nonlinear processes with an enhanced scatter search method. Industrial & Engineering Chemistry Research 49(9): 4388-4401.
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