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.
- Version0.5.0
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release08/30/2018
Documentation
Team
Antonio Prestes Garcia
Alfonso Rodriguez-Paton
Show author detailsRolesAuthor, Thesis advisor
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- Depends1 package
- Imports9 packages
- Suggests1 package