util_run_nl_dyn_GenAlg_fn

util_run_nl_dyn_ABCmcmc_fn

vector of model parameters, generated by GenSA function

param

evaluation criterion for simulated annealing

evalcrit

seed

TRUE/FALSE, if TRUE temporary created csv output files will be deleted after gathering results.

cleanup.csv

TRUE/FALSE, if TRUE temporary created xml output files will be deleted after gathering results.

cleanup.xml

TRUE/FALSE, if TRUE temporary created bat/sh output files will be deleted after gathering results.

cleanup.bat

TRUE/FALSE, if FALSE prints the current seed and siminputrow after successful execution of a simulation (only for sequential execution).

silent

vector of model parameters passed from ABC_mcmc function. If use_seeds = TRUE, the first element of this vector is a random seed

Genetic Algorithm run simulation function
Genetic Algorithm run simulation function

internal

Setup, run and analyze 'NetLogo' (<https://ccl.northwestern.edu/netlogo/>) model simulations in 'R'.
'nlrx' experiments use a similar structure as 'NetLogos' Behavior Space experiments.
However, 'nlrx' offers more flexibility and additional tools for running and analyzing complex simulation designs and sensitivity analyses.
The user defines all information that is needed in an intuitive framework, using class objects.
Experiments are submitted from 'R' to 'NetLogo' via 'XML' files that are dynamically written, based on specifications defined by the user.
By nesting model calls in future environments, large simulation design with many runs can be executed in parallel.
This also enables simulating 'NetLogo' experiments on remote high performance computing machines.
In order to use this package, 'Java' and 'NetLogo' (>= 5.3.1) need to be available on the executing system.

util_run_nl_dyn_GenAlg_fn: Genetic Algorithm run simulation function

Description

Usage

Arguments