2017
DOI: 10.1007/s00158-017-1845-7
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Multi-objective optimization of the aerodynamic shape of a long-range guided rocket

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Cited by 11 publications
(2 citation statements)
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“…Anderson et al (2000) proposed also optimization study for missile aerodynamic using Pareto genetic algorithm. Runduo and Xiaobing (2018) performed aerodynamic shape optimization for a rocket. Non-dominated sorting genetic algorithm (NSGA-II) and the real coding genetic algorithm (RGA) were used and the results of the study showed that the lift-to-drag ratio was increased and the maneuverability was improved as a result of optimization process.…”
Section: Introductionmentioning
confidence: 99%
“…Anderson et al (2000) proposed also optimization study for missile aerodynamic using Pareto genetic algorithm. Runduo and Xiaobing (2018) performed aerodynamic shape optimization for a rocket. Non-dominated sorting genetic algorithm (NSGA-II) and the real coding genetic algorithm (RGA) were used and the results of the study showed that the lift-to-drag ratio was increased and the maneuverability was improved as a result of optimization process.…”
Section: Introductionmentioning
confidence: 99%
“…The predictions of aerodynamic coefficients were obtained by using both AERODSN routine and Missile DATCOM software packages. Runduo and Xiaobing [11] studied the aerodynamic shape optimization subject. To solve this multiobjective optimization problem, they used nondominated sorting genetic algorithm (NSGA-II) and real-coded genetic algorithm (RGA) methods.…”
Section: Introductionmentioning
confidence: 99%