Evolutionary computation technologies for the automated design of space systems

R. Terrile, H. Aghazarian, M. I. Ferguson, W. Fink, T. Huntsberger, D. Keymeulen, Gerhard Klimeck, M. Kordon, Seungwon Lee, P. V. Allmen
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引用次数: 11

Abstract

The Evolvable Computation Group, at NASA's Jet Propulsion Laboratory (JPL), is tasked with demonstrating the utility of computational engineering and computer optimized design for complex space systems. The group is comprised of researchers over a broad range of disciplines including biology, genetics, robotics, physics, computer science and system design, and employs biologically inspired evolutionary computational techniques to design and optimize complex systems. Over the past two years we have developed tools using genetic algorithms, simulated annealing and other optimizers to improve on human design of space systems. We have further demonstrated that the same tools used for computer-aided design and design evaluation can be used for automated innovation and design, and be applied to hardware in the loop such as robotic arms and MEMS micro-gyroscopes. These powerful techniques also serve to reduce redesign costs and schedules.
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空间系统自动化设计的演化计算技术
NASA喷气推进实验室(JPL)的可进化计算小组的任务是演示计算工程和复杂空间系统的计算机优化设计的实用性。该小组由包括生物学,遗传学,机器人技术,物理学,计算机科学和系统设计在内的广泛学科的研究人员组成,并采用生物学启发的进化计算技术来设计和优化复杂系统。在过去的两年中,我们开发了使用遗传算法、模拟退火和其他优化器的工具,以改进人类对空间系统的设计。我们进一步证明,用于计算机辅助设计和设计评估的相同工具可以用于自动化创新和设计,并应用于环路中的硬件,如机械臂和MEMS微陀螺仪。这些强大的技术还有助于减少重新设计的成本和时间表。
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