2022
DOI: 10.1016/j.asoc.2022.109434
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The effect of different sampling method integrated in NSGA II optimization on performance and emission of diesel/hydrogen dual-fuel CI engine

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Cited by 9 publications
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“…The results, presented in Tables 6 and 7, were selected as input factors for the optimization process. Considering the number of objectives to be optimized, the nondominated sorting genetic algorithm II (NSGA-II), a widely adopted optimization algorithm in the eld of energy, [44][45][46] was chosen. The ow operation chart depicted in Fig.…”
Section: Optimal Solution For Engine Performance and Emission Via Mul...mentioning
confidence: 99%
“…The results, presented in Tables 6 and 7, were selected as input factors for the optimization process. Considering the number of objectives to be optimized, the nondominated sorting genetic algorithm II (NSGA-II), a widely adopted optimization algorithm in the eld of energy, [44][45][46] was chosen. The ow operation chart depicted in Fig.…”
Section: Optimal Solution For Engine Performance and Emission Via Mul...mentioning
confidence: 99%