Study on Optimum Control of Hydrogen Fueled Engine Based on Genetic Algorithms
2008
An optimum model on the performance and emissions with operating parameters for hydrogen fueled engine is proposed.The multi-objective optimum algorithm which combines the Pareto order and the partial decision-making can make the parallel processing of the multi objectives and shorten the time in convergence.The partial decision-making was adjusted dynamically to match with the engine mode by the weight function,making an integrated multi-objective controlling in sub-variables,sub-objectives and sub-modes,and providing new approach for controlling the complex problem of multi-objectives and increasing controlling accuracy.
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