Rolling Horizon Evolutionary Algorithm
Project description
Rolling Horizon Evolutionary Algorithm
An implementation of the Rolling Horizon Evolutionary Algorithm
Installation
using pip
pip install RollingHorizonEA
Usage
To use the rolling horizon evolutionary algorithm, you will need your game class to implement the Environment
interface.
Examples
Examples of setting up any game environment can be found in the examples
directory and run with:
python run.py
m_max example
num_dims = 600
m = 50
num_evals = 50
rollout_length = 10
mutation_probability = 0.1
# Set up the problem domain as m-max game
environment = MMaxGame(num_dims, m)
rhea = RollingHorizonEvolutionaryAlgorithm(rollout_length, environment, mutation_probability, num_evals)
rhea.run()
Cite
If you want to cite this library, please use the following DOI
Project details
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