multi-objective optimisation
This research presents a multi-channel phase shift inductor-inductor-capacitor (LLC) resonant converter with a wide input and output voltage range that has been specially optimized for fuel cell applications. The worst-case minimum stack voltage and the battery voltage range were used to determine the optimal parameters of the LLC converter. The voltage gain of the converter operating at a constant power was considered, and an algorithm for such a calculation is proposed.
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This data can be used for all the experiments related to the Mars rovers, as this data are accurate and used in a new algorithm called Limited Weighted Sum Genetic Algorithm for Multi-Objectives optimisation (LWSGA-MO).
The Mars exploration rover dataset is created in two steps: the data generation, and the data processing.
1) The data generation was done by Unity, and the code was written by C# scripts.
2) The data processing was done by RStudio and R.
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