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A simulation model is developed and linked with BOBYQA, an efficient optimization algorithm, to determine the optimal rule parameters in a stage-wise manner.
We provide an adaptive, Markov model-based solution for learning the optimal rule when stream dynamics are initially unknown.
This paper proposes a novel Genetic Swarm Algorithm (GSA) for obtaining near optimal rule set and membership function tuning.
We show that the decision rules in mTPI correspond to an optimal rule under a formal Bayesian decision theoretic framework.
The experimental results show that the obtained optimal rule base for FLC is capable of achieving the desired results.
To find the optimal rule base of ANFIS, a new "top down" rules reduction method is suggested.
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A specific case is illustrated by applying the proposed optimization procedure to analyze the optimal rules for a given inlet distributing manifold geometry.
The optimal rule-based energy management algorithm of the hybrid electric system is developed to improve the fuel economy.
The results indicate an improvement in design cycle and convergence to the optimal rule-base within a relatively short period of time.
A novel GA updating architecture is then proposed to search the optimal rule-base of these fuzzy systems at each sample interval.
The purpose of this article is to derive optimal rules for SMTs.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com