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Multi-objective Genetic Algorithms have become a popular choice to aid in optimising the size of the whole hybrid power train. Within these optimisation processes, other optimisation techniques for the control strategy are implemented. This optimisation within an optimisation requires many simulations to be run, so reducing the computational cost is highly desired. This paper presents an optimisation...
An inherent trade-off exists in simulation model development and use: a trade-off between the level of detail simulated and the simulation model's computational cost. It is often desirable to simulate a high level of detail to a high degree of accuracy. However, due to the nature of design optimization, which requires a large number of design evaluations, the application of such simulation models...
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