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An experimental design, assisted by response surface methodology, was developed to optimize the variables of the ME and MAE systems (time, temperature and ethanol-water proportion).
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Predictive models have been developed to optimize the approach [ 126].
The instance-based reinforcement learning methodology comes from the computer science literature, where it was developed to optimize sequences of actions in an evolving, time varying system.
In this paper, a new methodology based on the IWO algorithm is developed to optimize encoding sequences.
A novel methodology was developed to address this problem.
Its methodology was developed initially during the 1960s.
The methodology was developed by one of the coauthors (RP).
The Muskoka methodology was developed in response.
The mobility and comfort methodology was developed in this project.
Methodology was developed by BVH and RS.
Methodologies should be developed to this end.
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