2004
DOI: 10.2514/1.2103
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Simulated Annealing for Missile Optimization: Developing Method and Formulation Techniques

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Cited by 27 publications
(15 citation statements)
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“…Most of the previous research in projectile optimization focused on a singular optimum shape rather than one that changes shape throughout flight. [3][4][5][6][7][8] Notable previous work on projectile optimization includes Refs. 4, 6, 8, where trajectory simulations were integrated into their optimization studies giving them the ability to optimize trajectory characteristics, such as maximizing range.…”
Section: Introductionmentioning
confidence: 99%
“…Most of the previous research in projectile optimization focused on a singular optimum shape rather than one that changes shape throughout flight. [3][4][5][6][7][8] Notable previous work on projectile optimization includes Refs. 4, 6, 8, where trajectory simulations were integrated into their optimization studies giving them the ability to optimize trajectory characteristics, such as maximizing range.…”
Section: Introductionmentioning
confidence: 99%
“…The use of computer simulations as part of the design process is becoming increasingly common in complex and multi-disciplinary engineering products. For missile design, multi-point geometry optimisation ((Anderson et al (2000)) and trajectory and geometry optimisation (Tekinalp and Bingol (2004) and Yang et al (2012)) have been reported in the literature. These previous studies utilised low fidelity semi-empirical aerodynamic models such as Missile DATCOM (Vukelich et al (1988)) rather than modern computational fluid dynamics (CFD) models to generate the aerodynamic data.…”
Section: Introductionmentioning
confidence: 99%
“…Efficient global optimization methods are important for solving complex design problems. Algorithms such as particle swarm optimization [1,2], genetic algorithm [3,4], and simulated annealing [5,6] have been applied to solve multidisciplinary design optimization problems. In this paper, a new global optimization scheme is developed based on an emerging quantum computation paradigm.…”
Section: Introductionmentioning
confidence: 99%