README.md
In antonio-pgarcia/evoper: Evolutionary Parameter Estimation for 'Repast Simphony' Models
EvoPER
Evolutionary Parameter Estimation for 'Repast Simphony' Models.
Description
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.
License
This project is licensed under the MIT License - see the LICENSE file for details
Statistics
Acknowledgments
antonio-pgarcia/evoper documentation built on Aug. 30, 2020, 10:40 p.m.
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EvoPER
Evolutionary Parameter Estimation for 'Repast Simphony' Models.
Description
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.
License
This project is licensed under the MIT License - see the LICENSE file for details
Statistics
Acknowledgments
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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