A Parallel Ant Colony Optimization Algorithm Based on Crossover Operation

KALINLI A., Sarikoc F.

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

  • Publication Type: Article / Article
  • Volume:
  • Publication Date: 2008
  • Doi Number: 10.1007/978-3-540-72960-0_5
  • Journal Name: ADVANCES IN METAHEURISTICS FOR HARD OPTIMIZATION
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.87-110
  • Keywords: Parallel Ant Colony Optimization, Hybrid Algorithms, Continuous Optimization, Recurrent Neural Network, System Identification
  • Middle East Technical University Affiliated: No

Abstract

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.