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Sperm Swarm Optimization (SSO)

version 2.0.0.0 (13.8 MB) by hisham shehadeh
Sperm Swarm Optimization (SSO)

126 Downloads

Updated 12 May 2021

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A new meta-heuristic optimization approach, called “Sperm Swarm Optimization (SSO)” is proposed. The underlying ideas and concepts behind the proposed method are inspired by sperm motility to fertilize the egg. In SSO, sperm swarm moves forward from a low-temperature zone called Cervix. During this direction, sperm searches for a high-temperature zone called Fallopian Tubes where the egg is waiting for the swarm for fertilization in this zone, which this area is considered as the optimal solution.
Note: This version of the code is without mutation part in which is a secondary thing.

Cite As

hisham shehadeh (2021). Sperm Swarm Optimization (SSO) (https://github.com/sh7adeh1990/SSO/releases/tag/2.0.0.0), GitHub. Retrieved .

Shehadeh, Hisham A., et al. “Sperm Swarm Optimization Algorithm for Optimizing Wireless Sensor Network Challenges.” Proceedings of the 6th International Conference on Communications and Broadband Networking - ICCBN 2018, ACM Press, 2018, doi:10.1145/3193092.3193100.

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Shehadeh, Hisham A., et al. “Empirical Study of Sperm Swarm Optimization Algorithm.” Advances in Intelligent Systems and Computing, Springer International Publishing, 2018, pp. 1082–104, doi:10.1007/978-3-030-01057-7_80.

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Shehadeh, Hisham A. “A Hybrid Sperm Swarm Optimization and Gravitational Search Algorithm (HSSOGSA) for Global Optimization.” Neural Computing and Applications, Springer Science and Business Media LLC, Mar. 2021, doi:10.1007/s00521-021-05880-4.

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MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform Compatibility
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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.