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A new adaptive real-coded memetic algorithm

Nobahari, H ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/AICI.2009.259
  3. Abstract:
  4. A new adaptive real-coded memetic algorithm has been developed for continuous optimization problems. The proposed algorithm utilizes an adaptive variant of Continuous Ant Colony System for local search. Here new adaptive strategies are utilized for online tuning of the number of local search steps and the width of the search interval over each dimension of the search space. A new crossover scheme is also developed and utilized. The new algorithm has been examined with CEC 2005 benchmarks and compared with three other state of the art works in the field. The comparisons have showed relatively better results. © 2009 IEEE
  5. Keywords:
  6. Adaptive local search ; Continuous ant colony system ; Ant colony systems ; Local search ; Memetic algorithms ; Real-coded ; Steady-state genetic algorithms ; Artificial intelligence ; Evolutionary algorithms ; Adaptive algorithms
  7. Source: 2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009 ; Volume 1 , 2009 , Pages 368-372 ; 9780769538167 (ISBN)
  8. URL: http://ieeexplore.ieee.org/document/5376228