A Parallel Ant Colony Optimization Algorithm Based on Crossover Operation

Kalınlı A., Sarikoc F.

ADVANCES IN METAHEURISTICS FOR HARD OPTIMIZATION, ss.87-110, 2008 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası:
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1007/978-3-540-72960-0_5
  • Dergi Adı: ADVANCES IN METAHEURISTICS FOR HARD OPTIMIZATION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.87-110
  • Anahtar Kelimeler: Parallel Ant Colony Optimization, Hybrid Algorithms, Continuous Optimization, Recurrent Neural Network, System Identification
  • Erciyes Üniversitesi Adresli: Evet

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 using well-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.