An Aphid Inspired Evolutionary Algorithm

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.