International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Enhanced Hybrid XOR-based Artificial Bee Colony Using PSO Algorithm for Energy Efficient Binary Optimization

  • Baguda, Yakubu S. (Information Systems Department, Faculty of Computing and Information Technology, King Abdulaziz University)
  • Received : 2021.11.05
  • Published : 2021.11.30
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Abstract

Increase in computational cost and exhaustive search can lead to more complexity and computational energy. Thus, there is need for effective and efficient scheme to reduce the complexity to achieve optimal energy utilization. This will improve the energy efficiency and enhance the proficiency in terms of the resources needed to achieve convergence. This paper primarily focuses on the development of hybrid swarm intelligence scheme for reducing the computational complexity in binary optimization. In order to reduce the complexity, both artificial bee colony (ABC) and particle swarm optimization (PSO) have been employed to effectively minimize the exhaustive search and increase convergence. First, a new approach using ABC and PSO has been proposed and developed to solve the binary optimization problem. Second, the scout for good quality food sources is accomplished through the deployment of PSO in order to optimally search and explore the best source. Extensive experimental simulations conducted have demonstrate that the proposed scheme outperforms the ABC approaches for reducing complexity and energy consumption in terms of convergence, search and error minimization performance measures.

Keywords

Acknowledgement

The author would like to thank all those who contributed toward making this research successful. Also, we would like to thanks the reviewers for their insightful and valuable comment. This work was funded by the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah, under grant no. DF-802-830-1441. The author, therefore, gratefully acknowledge the DSR technical and financial support.

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