Genetic Algorithm Optimisation of Mathematical Models Using Distributed Computing

  • Authors:
  • S. Dunn;S. Peucker;J. Perry

  • Affiliations:
  • Air Vehicles Division, Defence Science & Technology Organisation, Victoria, Australia;Science Corporate Information Systems, Defence Science & Technology Organisation, Victoria, Australia;Science Corporate Information Systems, Defence Science & Technology Organisation, Victoria, Australia

  • Venue:
  • Applied Intelligence
  • Year:
  • 2005

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Abstract

In this paper, a process by which experimental, or historical, data are used to create physically meaningful mathematical models is demonstrated. The procedure involves optimising the correlation between this `real world' data and the mathematical models using a genetic algorithm which is constrained to operate within the physics of the system. This concept is demonstrated here by creating a structural dynamic finite element model for a complete F/A-18 aircraft based on experimental data collected by shaking the aircraft when it is on the ground. The processes used for this problem are easily broken up and solved on a large number of PCs. A technique is described here by which such distributed computing can be carried out using desktop PCs within the secure computing environment of the Defence Science & Technology Organisation without compromising the PC or network security.