optimES: Optimization using Evolutionary Strategies
In calibrar: Automated Parameter Estimation for Complex (Ecological) Models

Description Usage Arguments Author(s) Examples

This function performs the optimization of a function using evolutionary strategies, by default the AHR-ES (Oliveros & Shin, 2015).

1 2	optimES(par, fn, gr = NULL, ..., lower = -Inf, upper = Inf, active = NULL, control = list(), hessian = FALSE, method = "default")

`par`	A numeric vector. The length of the par argument defines the number of parameters to be estimated (i.e. the dimension of the problem).
`fn`	The function to be minimized.
`gr`	the gradient of `fn`. Ignored, added for portability with other optimization functions.
`lower`	Lower threshold value(s) for parameters. One value or a vector of the same length as par. If one value is provided, it is used for all parameters. `NA` means `-Inf`. By default `-Inf` is used (unconstrained).
`upper`	Upper threshold value(s) for parameters. One value or a vector of the same length as par. If one value is provided, it is used for all parameters. `NA` means `Inf`. By default `Inf` is used (unconstrained).
`active`	A boolean vector of the same length of `par`. If `TRUE`, the parameter is optimized, if `FALSE` the parameter is fixed to the value specified in `par`.
`control`	Parameter for the control of the algorithm itself, see details.
`hessian`	Logical. Should a numerically differentiated Hessian matrix be returned? Currently not implemented.
`method`	The optimization method to be used. Currently, the only implemented is the 'default' method, corresponding to the AHR-ES (Oliveros & Shin, 2015).
`...`	Additional parameters to be passed to `fn`.

Ricardo Oliveros-Ramos

1	optimES(par=rep(1, 5), fn=SphereN)

sh: 1: wc: Permission denied
sh: 1: cannot create /dev/null: Permission denied

Function value: 
Parameters (5 of 5 parameters active).
        par1         par2         par3         par4         par5 
-0.003804972  0.014361120 -0.168063532 -0.017658488  0.068086874