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- W2024213096 abstract "In this study, the multi-objective optimization using genetic algorithm is carried out for optimization of the thermodynamic cycle of ideal turbojet with afterburner engines. The fast non-dominated sorting genetic algorithm II is used to obtain the solutions. The possible important conflicting thermodynamic objective functions that have been considered in this work are specific thrust, thrust-specific fuel consumption, propulsive efficiency (η p ), and thermal efficiency (η t ). Different pairs of these objective functions have been selected for two-objective optimization processes. These objectives have also been considered for a four-objective optimization problem using the multi-objective genetic algorithm of this work. The research demonstrates that the results of four-objective optimization can include those of two-objective optimization and, therefore, provide more choices for the optimal design of the thermodynamic cycle of ideal turbojet with afterburner engines." @default.
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- W2024213096 date "2010-06-07" @default.
- W2024213096 modified "2023-09-25" @default.
- W2024213096 title "Thermodynamic optimization of ideal turbojet with afterburner engines using non-dominated sorting genetic algorithm II" @default.
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- W2024213096 doi "https://doi.org/10.1243/09544100jaero771" @default.
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