Optimization of helical compression springs using simulated annealing and ant colony optimization

  • Authors:
  • Farhad Kolahan;Ahmad Tavakoli;Saeed Soheili;Mahdi Abachizadeh;Golnaz Tadayon

  • Affiliations:
  • Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran;Department of Management Science, Ferdowsi University of Mashhad, Mashhad, Iran;Ferdowsi University of Mashhad, Mashhad, Iran;Ferdowsi University of Mashhad, Mashhad, Iran;Ferdowsi University of Mashhad, Mashhad, Iran

  • Venue:
  • ICOSSE'06 Proceedings of the 5th WSEAS international conference on System science and simulation in engineering
  • Year:
  • 2006

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Abstract

In this paper, the optimization of compression helical springs is investigated. The design process involves determining wire material, end type of the spring and wire diameter. In this regards, important design constraints are taken into account. The objective is to minimize the figure of merit, which shows the relative cost of spring. Two heuristic algorithms, namely simulated annealing and ant colony optimization, are employed to optimize the spring. The results obtained by these methods are compared with each other, and with the exact solution of the problem.