An Effective Hybrid Butterfly Optimization Algorithm with Artificial Bee Colony for Numerical Optimization
Autor:
Arora, Sankalap
; Singh, Satvir
Fecha:
2017Palabra clave:
Revista / editorial:
International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)Tipo de Ítem:
articleDirección web:
https://ijimai.org/journal/bibcite/reference/2601Resumen:
In this paper, a new hybrid optimization algorithm
which combines the standard Butterfly Optimization Algorithm
(BOA) with Artificial Bee Colony (ABC) algorithm is proposed.
The proposed algorithm used the advantages of both the algorithms
in order to balance the trade-off between exploration and
exploitation. Experiments have been conducted on the proposed
algorithm using ten benchmark problems having a broad range
of dimensions and diverse complexities. The simulation results
demonstrate that the convergence speed and accuracy of the
proposed algorithm in finding optimal solutions is significantly
better than BOA and ABC.
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