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).
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.
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.
APA
Shehadeh, H. A., Ahmedy, I., & Idris, M. Y. I. (2018). Sperm Swarm Optimization Algorithm for Optimizing Wireless Sensor Network Challenges. In Proceedings of the 6th International Conference on Communications and Broadband Networking - ICCBN 2018. ACM Press. Retrieved from https://doi.org/10.1145%2F3193092.3193100
BibTeX
@inproceedings{Shehadeh_2018,
doi = {10.1145/3193092.3193100},
url = {https://doi.org/10.1145%2F3193092.3193100},
year = 2018,
publisher = {{ACM} Press},
author = {Hisham A. Shehadeh and Ismail Ahmedy and Mohd Yamani Idna Idris},
title = {Sperm Swarm Optimization Algorithm for Optimizing Wireless Sensor Network Challenges},
booktitle = {Proceedings of the 6th International Conference on Communications and Broadband Networking - {ICCBN} 2018}
}
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.
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.
APA
Shehadeh, H. A., Ahmedy, I., & Idris, M. Y. I. (2018). Empirical Study of Sperm Swarm Optimization Algorithm. In Advances in Intelligent Systems and Computing (pp. 1082–1104). Springer International Publishing. Retrieved from https://doi.org/10.1007%2F978-3-030-01057-7_80
BibTeX
@incollection{Shehadeh_2018,
doi = {10.1007/978-3-030-01057-7_80},
url = {https://doi.org/10.1007%2F978-3-030-01057-7_80},
year = 2018,
month = {nov},
publisher = {Springer International Publishing},
pages = {1082--1104},
author = {Hisham A. Shehadeh and Ismail Ahmedy and Mohd Yamani Idna Idris},
title = {Empirical Study of Sperm Swarm Optimization Algorithm},
booktitle = {Advances in Intelligent Systems and Computing}
}
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.
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.
APA
Shehadeh, H. A. (2021). A hybrid sperm swarm optimization and gravitational search algorithm (HSSOGSA) for global optimization. Neural Computing and Applications. Springer Science and Business Media LLC. Retrieved from https://doi.org/10.1007%2Fs00521-021-05880-4
BibTeX
@article{Shehadeh_2021,
doi = {10.1007/s00521-021-05880-4},
url = {https://doi.org/10.1007%2Fs00521-021-05880-4},
year = 2021,
month = {mar},
publisher = {Springer Science and Business Media {LLC}},
author = {Hisham A. Shehadeh},
title = {A hybrid sperm swarm optimization and gravitational search algorithm ({HSSOGSA}) for global optimization},
journal = {Neural Computing and Applications}
}
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.
Sélectionner un site web
Choisissez un site web pour accéder au contenu traduit dans votre langue (lorsqu'il est disponible) et voir les événements et les offres locales. D’après votre position, nous vous recommandons de sélectionner la région suivante : .
Vous pouvez également sélectionner un site web dans la liste suivante :
Comment optimiser les performances du site
Pour optimiser les performances du site, sélectionnez la région Chine (en chinois ou en anglais). Les sites de MathWorks pour les autres pays ne sont pas optimisés pour les visites provenant de votre région.
