An Effective Hybrid Butterfly Optimization Algorithm with Artificial Bee Colony for Numerical Optimization

Authors

DOI:

https://doi.org/10.9781/ijimai.2017.442

Keywords:

Optimization, Algorithms, Butterfly Algorithm, Bee Colony
Supporting Agencies
The authors wish to acknowledge the Department of RIC, I.K. Gujral Punjab Technical University, Kapurthala, Punjab, India.

Abstract

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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Published

2017-06-01
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How to Cite

Arora, S. and Singh, S. (2017). An Effective Hybrid Butterfly Optimization Algorithm with Artificial Bee Colony for Numerical Optimization. International Journal of Interactive Multimedia and Artificial Intelligence, 4(4), 14–21. https://doi.org/10.9781/ijimai.2017.442