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Rolling Horizon Evolutionary Algorithm

Project description

Rolling Horizon Evolutionary Algorithm

PyPI version

An implementation of the Rolling Horizon Evolutionary Algorithm


using pip

pip install RollingHorizonEA


To use the rolling horizon evolutionary algorithm, you will need your game class to implement the Environment interface.


Examples of setting up any game environment can be found in the examples directory and run with:


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)


If you want to cite this library, please use the following DOI


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Files for RollingHorizonEA, version 0.1.2
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