Computational Intelligence in Aerospace Engineering book cover

Computational Intelligence in Aerospace Engineering

Shanghai Jiao Tong University Press Aerospace Series

Whilst most books on computational intelligence cover general design applications, Computational Intelligence in Aerospace Design focuses in on various CI methods that can be applied to improve the efficiency and effectiveness of aerospace design through numerical simulation.

With a wealth of computational methods already at play in aerospace design, the application of CI techniques and elements is a natural development in the never-ending quest for optimization. Using detailed case studies and examples, author Wenbin Song takes you through the scenarios that can benefit from a CI approach and presents a consistent framework for aerospace design incorporating elements such as neural networks, fuzzy logic systems and evolutionary computation.

Ideal for the engineer or researcher needing to apply computational methods without a computer science background, Computational Intelligence in Aerospace Design will help to take your aerospace modeling, simulation and optimization efforts to the next level.


Engineers and researchers within aerospace engineering looking to apply computational intelligence principles to aerospace design, modeling and optimization.

Hardbound, 352 Pages

Published: September 2014

Imprint: Academic Press

ISBN: 978-0-12-407714-0


  • Chapter 1: Introduction

    1.0. Background

    1.1. Aerospace Engineering

    1.2. Research Trend in Aerospace Engineering

    1.3. Focus of this Book

    1.4. Book Outline

    Chapter 2: Related Work

    2.0. Design Process in Aerospace Engineering

    2.1. Modeling and Simulation

    2.2. Engineering Optimization

    2.3. Artificial Intelligence Methods

    2.4. Knowledge and Value-based Methods

    2.5. Summary

    Chapter 3: Modeling and Simulation

    3.0. Introduction

    3.1. Computational Modeling

    3.2. Numerical Methods in Aerospace Design

    3.3. Multidisciplinary Models

    3.4. Conclusion

    Chapter 4: Optimization in Aerospace Engineering

    4.0. Introduction

    4.1. Optimization Methods

    4.2. Optimization Framework

    4.3. Conclusion

    Chapter 5: Computational Intelligence (CI) Methods

    5.0. Introduction

    5.1. Fuzzy Systems

    5.3. Neural Networks Methods

    5.4. Evolutionary Computation

    5.5. Hybridized Intelligence Methods

    5.5. Conclusion

    Chapter 6: Use of CI Methods in Aerospace Design

    6.0. Introduction

    6.1. Aerospace Design Optimization Using CI Methods

    6.2. Surrogate Modeling Using Neural Networks

    6.3. Efficient Optimization Using Variable Fidelity Models

    6.4. Conclusion

    Chapter 7: Case Studies

    7.0. Introduction

    7.1. Three-Dimensional Aerodynamic Design

    7.2. Multi-criteria Evaluation of Cabin Comfort Level

    7.3. Evolutionary Optimization of Environmental Friendly Aircraft

    7.4. Conclusion

    Chapter 8: Conclusion

    8.0. Conclusion of the Book

    8.1. Future Research Areas


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