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International Conference on Evolutionary Multi-Criterion Optimization

EMO 2013: Evolutionary Multi-Criterion Optimization pp 656–668Cite as

Knowledge Extraction for Structural Design of Regional Jet Horizontal Tail Using Multi-Objective Design Exploration (MODE)

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7811))

Abstract

An multi-objective optimization (MOO) and knowledge extraction were conducted for a structural design of a regional jet horizontal tail using Multi-Objective Design Exploration (MODE). MODE reveals the structure of the design space from the trade-off information and visualizes it as a panorama for a Decision Maker. The present form of MODE consists of Kriging model, Adaptive Range Multi-Objective Genetic Algorithm and Self-Organizing Map (SOM). Combination between the stringer-pitch and the rib-pitch was optimized based on detailed buckling evaluation and MSC/NASTRAN static analysis using realistic aircraft structural model. The resulting Kriging model provided several solutions with improvements, both in the structural weight and the number of structural components, compared with the baseline design. Furthermore, SOM divided the design space into clusters with specific design features. The acquired design knowledge from the present application has been utilized for the horizontal tail design of Mitsubishi Regional Jet (MRJ).

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Author information

Authors and Affiliations

  1. Mitsubishi Aircraft Corporation, 455-8555, Nagoya, Japan

    Hiroyuki Morino

  2. Institute of Fluid Science, Tohoku University, 980-8577, Sendai, Japan

    Shigeru Obayashi

Authors
  1. Hiroyuki Morino
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  2. Shigeru Obayashi
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Editor information

Editors and Affiliations

  1. Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, S1 3JD, Sheffield, UK

    Robin C. Purshouse

  2. Department of Automatic Control Systems and Engineering, University of Sheffield, Mappin Street, S1 3JD, Sheffield, UK

    Peter J. Fleming

  3. Department of Informatics Engineering, University of Coimbra, Pólo II, Pinhal de Marrocos, 3030-290, Coimbra, Portugal

    Carlos M. Fonseca

  4. Department of Economics and Business, University of Catania, Corso Italia 55, 95129, Catania, Italy

    Salvatore Greco

  5. Unilever Research & Development Port Sunlight, Quarry Road East, CH63 3JW, Merseyside, UK

    Jane Shaw

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© 2013 Springer-Verlag Berlin Heidelberg

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Morino, H., Obayashi, S. (2013). Knowledge Extraction for Structural Design of Regional Jet Horizontal Tail Using Multi-Objective Design Exploration (MODE). In: Purshouse, R.C., Fleming, P.J., Fonseca, C.M., Greco, S., Shaw, J. (eds) Evolutionary Multi-Criterion Optimization. EMO 2013. Lecture Notes in Computer Science, vol 7811. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37140-0_49

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  • DOI: https://doi.org/10.1007/978-3-642-37140-0_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37139-4

  • Online ISBN: 978-3-642-37140-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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