A Parallel Ant Colony Optimization Algorithm Based on Crossover Operation

Kalınlı A., Sarıkoç F.

ADVANCES IN METAHEURISTICS FOR HARD OPTIMIZATION, Patrick Siarry,Zbigniew Michalewicz, Editör, Springer, London/Berlin , Berlin, ss.87-110, 2008

  • Yayın Türü: Kitapta Bölüm / Mesleki Kitap
  • Basım Tarihi: 2008
  • Yayınevi: Springer, London/Berlin 
  • Basıldığı Şehir: Berlin
  • Sayfa Sayıları: ss.87-110
  • Editörler: Patrick Siarry,Zbigniew Michalewicz, Editör
  • Erciyes Üniversitesi Adresli: Hayır

Özet

In this work, we introduce a new parallel ant colony optimization algorithm based on an ant metaphor and the crossover operator from genetic algorithms.The performance of the proposed model is evaluated usingwell-known numerical test problems and then it is applied to train recurrent neural networks to identify linear and nonlinear dynamic plants. The simulation results are compared with results using other algorithms.