A cognitive-heuristic framework for optimization of spaceplane-system configurations

Ali Sarosh; Yun Feng Dong; Shi Ming Chen

doi:10.1007/978-3-642-37835-5_42

A cognitive-heuristic framework for optimization of spaceplane-system configurations

Ali Sarosh^*
, Yun Feng Dong
, Shi Ming Chen

^*此作品的通讯作者

宇航学院

National University of Sciences and Technology Pakistan
Beihang University

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

A cognitive-heuristic framework for interconnecting analytical aerothermodynamics and mass-modeling parameters to heuristic optimizer is proposed. It evaluates a complex highly-integrated forebody-inlet configuration and representative hypersonic spaceplane based on minimal input data of flight altitude and Mach number only. SHWAMIDOF-FI design tool is used which incorporates salient features of multi-stage cognitive work approach integrated to heuristic optimization. Results show substantial improvement in geometric, performance, and flow parameters as compared to baseline configuration.

源语言	英语
页（从-至）	489-500
页数	12
期刊	Advances in Intelligent Systems and Computing
卷	215
DOI	https://doi.org/10.1007/978-3-642-37835-5_42
出版状态	已出版 - 2014

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AB - A cognitive-heuristic framework for interconnecting analytical aerothermodynamics and mass-modeling parameters to heuristic optimizer is proposed. It evaluates a complex highly-integrated forebody-inlet configuration and representative hypersonic spaceplane based on minimal input data of flight altitude and Mach number only. SHWAMIDOF-FI design tool is used which incorporates salient features of multi-stage cognitive work approach integrated to heuristic optimization. Results show substantial improvement in geometric, performance, and flow parameters as compared to baseline configuration.

KW - Analytical aerothermodynamics

KW - Cognitive-heuristic framework

KW - Forebody-inlet configuration

KW - Heuristic optimization

KW - Mass-modeling

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A cognitive-heuristic framework for optimization of spaceplane-system configurations

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