Optimization of Steel Frame with Genetic Algorithm Using Different Encoding Types

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Bekiroğlu S., Ayvaz Y., Dede T.

The 6th International Conference on Advances in Civil Engineering, ACE 2004, İstanbul, Turkey, 6 - 08 October 2004, pp.241-250

  • Publication Type: Conference Paper / Full Text
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.241-250
  • Yıldız Technical University Affiliated: No


In genetic algorithms, binary encoding and value encoding are mostly used encoding types to represent structural characteristics of problems. In this study, in addition to these encoding types, effects of different encoding types such as ternary encoding, quaternary encoding, etc. on optimum solution and convergence of the algorithm including these encoding types are discussed. In the design, the specification, AISCASD, is taken into account. It is concluded that the use of different encoding types have advantage over using only one encoding type in the genetic algorithm.