abm.ees2: EvoPER Evolutionary Strategy 2

In evoper: Evolutionary Parameter Estimation for 'Repast Simphony' Models

Description

This function tries to provide a rough approximation to best solution when no information is available for the correct range of input parameters for the objective function. It can useful for studying the behavior of individual-based models with high variability in the output variables showing nonlinear behaviors.

Usage

abm.ees2(objective, options = NULL)

Arguments

objective	An instance of ObjectiveFunction (or subclass) class ObjectiveFunction
options	An apropiate instance from a sublclass of Options class

Examples

## Not run: 
 f<- PlainFunction$new(f0.rosenbrock2)

 f$Parameter(name="x1",min=-100,max=100)
 f$Parameter(name="x2",min=-100,max=100)

 extremize("ees2", f)

## End(Not run)

evoper documentation built on May 2, 2019, 12:13 a.m.