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://www.netlogo.org/>) which are the most used frameworks for Agent-based modeling.


Reference manual

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install.packages("evoper")

0.7.0 by Antonio Prestes Garcia, 5 months ago


https://github.com/antonio-pgarcia/evoper


Report a bug at https://github.com/antonio-pgarcia/evoper/issues


Browse source code at https://github.com/cran/evoper


Authors: Antonio Prestes Garcia [aut, cre] , Alfonso Rodriguez-Paton [aut, ths]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports methods, logger, boot, reshape, ggplot2, deSolve, plot3D, plyr, data.table, utils, RNetLogo

Depends on rrepast

Suggests testthat


See at CRAN