Interacted Multiple Ant Colonies Optimization Approach to Enhance the Performance of Ant Colony Optimization Algorithms


  •  Alaa Aljanaby    
  •  Ku Ruhana Ku-Mahamud    
  •  Norita Norwawi    

Abstract

One direction of ant colony optimization researches is dividing the ants’ population into several colonies. These colonies work together to collectively solve an optimization problem. This approach offers good opportunity to explore a large area of the search space. It seems to be a suitable approach to improve the performance of ant algorithms. This paper proposes a new generic algorithmic approach utilizing multiple ant colonies with some new interaction techniques. Computational test shows promising results of the new approach. The proposed approach outperforms the single colony ant algorithms in term of the solution quality with the same computational effort. 



This work is licensed under a Creative Commons Attribution 4.0 License.
  • Issn(Print): 1913-8989
  • Issn(Onlne): 1913-8997
  • Started: 2008
  • Frequency: quarterly

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(The data was calculated based on Google Scholar Citations)

Google-based Impact Factor (2018): 18.20

h-index (January 2018): 23

i10-index (January 2018): 90

h5-index (January 2018): 11

h5-median(January 2018):17

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