43rd AIAA/ASME/SAE/ASEE Joint Propulsion Conference &Amp;amp; Exhibit 2007
DOI: 10.2514/6.2007-5852
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Design Optimization of Space Launch Vehicles for Minimum Cost Using a Genetic Algorithm

Abstract: This paper describes an effort to optimize liquid-fueled space launch vehicles for minimum cost. The entire launch vehicle is modeled to achieve a low-Earth (circular) orbit using multiple stages. The optimization scheme employs a genetic algorithm (GA) with the goals of minimizing both vehicle weight and vehicle cost per launch. Two and three-stage liquid propellant launch vehicles have been analyzed. In addition, results from an air-launched, two-stage liquid propellant launch vehicle are presented. The vehi… Show more

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Cited by 25 publications
(13 citation statements)
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“…Another disadvantage of GAs is that a global optimum solution is not always guaranteed. 16 Considering the disadvantages of GAs, the pattern search algorithm, which is also a direct search method, is added to the optimization process. This algorithm has strong local searching capability and is faster than GAs.…”
Section: Analytical Constellation Design Methodsmentioning
confidence: 99%
“…Another disadvantage of GAs is that a global optimum solution is not always guaranteed. 16 Considering the disadvantages of GAs, the pattern search algorithm, which is also a direct search method, is added to the optimization process. This algorithm has strong local searching capability and is faster than GAs.…”
Section: Analytical Constellation Design Methodsmentioning
confidence: 99%
“…Ross, Hastings et al used the Multi-Attribute Tradespace Exploration methodology to study several projects, for instance, the Terrestrial Observer Swarm (X-TOS) [7]. Bayley et al used a genetic algorithm to optimize the architecture of a launch vehicle [8]. De Weck et al also used real options to analyze architectures for constellations of communications satellites [9].…”
Section: System Architecting and Decision Support Toolsmentioning
confidence: 99%
“…in atmospheric and exo-atmospheric phases of the mission. This accuracy can be characterized by the value of the dispersions posteriori of the corresponding components of the mentioned vectors [8]. Now let's consider the possible integration schemes for GINS and GPS receiver with respect to this technical problem.…”
Section: Problem Settingmentioning
confidence: 99%