evoper: Evolutionary Parameter Estimation for 'Repast Simphony' Models

The EvoPER, Evolutionary Parameter Estimation for Individual-based Models is an extensible package providing optimization driven parameter estimation methods using metaheuristics and evolutionary computation techniques (Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization for continuous domains, Tabu Search, Evolutionary Strategies, ...) which could be more efficient and require, in some cases, fewer model evaluations than alternatives relying on experimental design. Currently there are built in support for models developed with 'Repast Simphony' Agent-Based framework (<https://repast.github.io/>) and with NetLogo (<https://ccl.northwestern.edu/netlogo/>) which are the most used frameworks for Agent-based modeling.

Version: 0.5.0
Depends: rrepast
Imports: methods, futile.logger, boot, reshape, ggplot2, deSolve, plot3D, plyr, data.table, utils, RNetLogo
Suggests: testthat
Published: 2018-08-30
Author: Antonio Prestes Garcia [aut, cre], Alfonso Rodriguez-Paton [aut, ths]
Maintainer: Antonio Prestes Garcia <antonio.pgarcia at alumnos.upm.es>
BugReports: https://github.com/antonio-pgarcia/evoper/issues
License: MIT + file LICENSE
URL: https://github.com/antonio-pgarcia/evoper
NeedsCompilation: no
Materials: NEWS
CRAN checks: evoper results


Reference manual: evoper.pdf


Package source: evoper_0.5.0.tar.gz
Windows binaries: r-devel: evoper_0.5.0.zip, r-release: evoper_0.5.0.zip, r-oldrel: evoper_0.5.0.zip
macOS binaries: r-release (arm64): evoper_0.5.0.tgz, r-release (x86_64): evoper_0.5.0.tgz, r-oldrel: evoper_0.5.0.tgz
Old sources: evoper archive


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