Parallel Shape Optimization of a Missile on a Grid Infrastructure

  • Erdal Oktay
  • Osman Merttopcuoglu
  • Cevat Sener
  • Ahmet Ketenci
  • Hasan U. Akay
Conference paper
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 74)


A computational tool is developed to be used in the preliminary design of an air vehicle. This tool parametrically optimizes the airframe shape. In order to search the entire solution space thoroughly, a genetic algorithm is used. Code parallelization is utilized to decrease the convergence time of the airframe shape design of a realistic missile geometry on a Grid infrastructure to further improve the search quality. In this work, a generic missile geometry is taken as a test case for a design application. The problem is to maximize the weighted average of lift-to-drag ratio for given mass and propulsion unit.

Key words

Design Optimization Shape Optimization Genetic Algorithms Parallel Computing Grid Computing 


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Copyright information

© Springer Berlin Heidelberg 2010

Authors and Affiliations

  • Erdal Oktay
    • 1
  • Osman Merttopcuoglu
    • 2
  • Cevat Sener
    • 3
  • Ahmet Ketenci
    • 3
  • Hasan U. Akay
    • 4
  1. 1.EDA – Engineering Design & Analysis Ltd. CoAnkaraTurkey
  2. 2.ROKETSAN – Missile Industries, Inc.AnkaraTurkey
  3. 3.Dept. of Computer EngineeringMiddle East Technical UniversityAnkaraTurkey
  4. 4.Dept. of Mechanical EngineeringIndiana University-Purdue University IndianapolisIndianaUSA

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