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Aerodynamic shape optimization of unguided projectiles using Ant Colony Optimization and Genetic Algorithm

Nobahari, H ; Sharif University of Technology | 2006

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  1. Type of Document: Article
  2. Publisher: 2006
  3. Abstract:
  4. The problem of aerodynamic shape optimization of unguided projectiles has been investigated. Two stochastic optimization methods have been applied to solve the problem. These include a Genetic Algorithm (GA) and the recently developed Continuous Ant Colony System (CACS), which is based on the well-known Ant Colony Optimization meta-heuristic. The objective function is defined as the summation of normal force coefficients over a set of given flight conditions. An engineering code (EC) is used to calculate the normal force coefficients over the flight conditions. The obtained results of CACS+EC are compared with those of GA+EC, as well as the results of a previous work (GA +AeroDesign). The comparisons show that CACS has superior results compared with GA. It can find better design points in a fewer evaluations. Also there is a good agreement between the results of EC and AeroDesign
  5. Keywords:
  6. Aerodynamic shape optimization ; Ant Colony Optimization (ACO) ; Ant colony systems ; Engineering codes ; Flight conditions ; Normal force coefficients ; Objective functions ; Stochastic optimization methods ; Ant colony optimization ; Artificial intelligence ; Genetic algorithms ; Projectiles ; Shape optimization ; Aerodynamics
  7. Source: 25th Congress of the International Council of the Aeronautical Sciences 2006, Hamburg, 3 September 2006 through 8 September 2006 ; Volume 2 , 2006 , Pages 698-706 ; 9781604232271 (ISBN)
  8. URL: http://www.icas.org/ICAS_ARCHIVE/ICAS2006/PAPERS/677.PDF