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Empirical Study of Sperm Swarm Optimization Algorithm

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Intelligent Systems and Applications (IntelliSys 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 869))

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Abstract

This paper gives an empirical study to estimate the performance of our proposed optimization method called Sperm Swarm Optimization (SSO). The SSO is evaluated frequently with different mathematical benchmark models utilized in the scope of optimization. Various asymmetric parameters and settings are chosen for these benchmark functions. The acquired results are compared with the results of four methods, such as Genetic Algorithms (GA), Parallel Genetic Algorithm (PGA), Particle Swarm Optimization (PSO) and Accelerated Particle Swarm Optimization (APSO). The outcomes present that the proposed approach outperforms other approaches in terms of quality of result because of using the technique of inherently continuous to update the sperm location. In addition, it uses different types of mutations which are utilized to increase the method convergence.

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Acknowledgments

The authors acknowledge University of Malaya for the financial support (University Malaya Research Grant (RP036A-15AET) and facilitating in carrying out the work.

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Authors and Affiliations

  1. Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia

    Hisham A. Shehadeh, Ismail Ahmedy & Mohd Yamani Idna Idris

Authors
  1. Hisham A. Shehadeh
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  2. Ismail Ahmedy
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  3. Mohd Yamani Idna Idris
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Corresponding authors

Correspondence to Ismail Ahmedy or Mohd Yamani Idna Idris .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, UK

    Rahul Bhatia

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The work was deduced from Hisham’s Ph.D. thesis as Dr. Mohd Yamani Idna Idris and Dr. Ismail Ahmedy supervised him along his study.

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Shehadeh, H.A., Ahmedy, I., Idris, M.Y.I. (2019). Empirical Study of Sperm Swarm Optimization Algorithm. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2018. Advances in Intelligent Systems and Computing, vol 869. Springer, Cham. https://doi.org/10.1007/978-3-030-01057-7_80

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