Sperm Swarm Optimization (SSO)

版本 2.0.0.0 (14.4 MB) 作者: hisham shehadeh
Sperm Swarm Optimization (SSO)
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更新时间 2021/5/12
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. The full result of this algorithm in solving CEC2017 is available in (Paper:HSSOGSA).
The dataset of CEC2017 is available in Dataset.
Another Algorithms are in the following links:

引用格式

hisham shehadeh (2024). Sperm Swarm Optimization (SSO) (https://github.com/sh7adeh1990/SSO/releases/tag/2.0.0.0), GitHub. 检索时间: .

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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2.0.0.0

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