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.

Getting started

Package details

AuthorAntonio Prestes Garcia [aut, cre], Alfonso Rodriguez-Paton [aut, ths]
MaintainerAntonio Prestes Garcia <[email protected]>
LicenseMIT + file LICENSE
URL https://github.com/antonio-pgarcia/evoper
Package repositoryView on CRAN
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evoper documentation built on Aug. 31, 2018, 1:03 a.m.