Liquid propellant engine conceptual design by using a fuzzy-multi-objective genetic algorithm (MOGA) optimization method

This paper presents an extension of fuzzy-multi-objective genetic algorithm (MOGA) optimization methodology that could effectively be used to find the overall satisfaction of objective functions (selecting the design variables) in the early stages of design process. The coupling of objective functio...

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Veröffentlicht in:	Proceedings of the Institution of Mechanical Engineers. Part G, Journal of aerospace engineering Journal of aerospace engineering, 2014-12, Vol.228 (14), p.2587-2603
Hauptverfasser:	Mirshams, M, Naseh, H, Taei, H, Fazeley, HR
Format:	Artikel
Sprache:	eng
Schlagworte:	Aerospace engineering Design optimization Engines Fuzzy sets Genetic algorithms Liquid propellants Mathematical models Methodology Minimum weight Optimization Oxidizers Pressure
Online-Zugang:	Volltext
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