An Evolutionary Algorithm Based On The Aphid Life Cycle

Authors

  • Michael Cilliers Academy of Computer Science and Software Engineering, University of Johannesburg, Auckland Park, Johannesburg, South Africa
  • Duncan Coulter Academy of Computer Science and Software Engineering, University of Johannesburg, Auckland Park, Johannesburg, South Africa

Keywords:

Aphid lifecycle, genetic algorithm, optimization

Abstract

This paper proposes an evolutionary algorithm based on the reproduction cycle of aphids. The proposed algorithm will alternate between multiple reproduction operators based on the fitness of the population. Through the alternation of reproduction strategies the balance between exploration and exploitation can be manipulated to achieve faster convergence. Two variations on the proposed algorithm are implemented and compared to the standard evolutionary algorithm and clonal expansion. The comparison of converging times of the algorithms show that both variations of the proposed algorithm can be effective.

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Published

2016-01-01

How to Cite

Michael Cilliers, & Duncan Coulter. (2016). An Evolutionary Algorithm Based On The Aphid Life Cycle. International Journal of Computer Information Systems and Industrial Management Applications, 8, 8. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/331

Issue

Section

Original Articles