MS_optim: Simultaneous optimization of multiple resistance surfaces

In wpeterman/ResistanceGA: Optimize resistance surfaces using genetic algorithms

Simultaneous optimization of multiple resistance surfaces

Description

Optimize multiple resistance surfsaces simultaneously using genetic algorithms

Usage

MS_optim(CS.inputs, 
             gdist.inputs, 
             jl.inputs,
             GA.inputs,
             diagnostic_plots = TRUE)

Arguments

CS.inputs	Object created from running CS.prep function. Defined if optimizing using CIRCUITSCAPE
gdist.inputs	Object created from running gdist.prep function. Defined if optimizing using gdistance
jl.inputs	Object created from running jl.prep function. Defined if optimizing using CIRCUITSCAPE run in Julia
GA.inputs	Object created from running GA.prep function
diagnostic_plots	Plotting and saving of diagnostic plots (Default = TRUE)

Value

This function optimizes multiple resistance surfaces, returning a Genetic Algorithm (GA) object with summary information. Diagnostic plots of model fit are output to the "Results/Plots" folder that is automatically generated within the folder containing the optimized ASCII files. A text summary of the optimization settings and results is printed to the results folder.

Author(s)

Bill Peterman <[e-mail]>

Examples

 
## Not run:
## *** TO BE COMPLETED *** ##

## End (Not run)

wpeterman/ResistanceGA documentation built on Nov. 20, 2023, 11:50 p.m.