Abstract
This paper put forward a algorithm to implement the function of growth operator, the algorithm is called SWFZIRS(Sector Window, Window Float, Window Zoom, Immune, Random Search). Sector Window, Window Float, and Window Zoom be used to improve the learning ability, and Immune be used to accumulate experience and to strengthen immunity, and Random Search be used to ensure population diversity. Experiments show that probability of that find global optimal solution is increased.
| Original language | English |
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| Title of host publication | Proceedings - 2011 7th International Conference on Computational Intelligence and Security, CIS 2011 |
| Pages | 135-138 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | 2011 7th International Conference on Computational Intelligence and Security, CIS 2011 - Sanya, Hainan, China Duration: 3 Dec 2011 → 4 Dec 2011 |
Publication series
| Name | Proceedings - 2011 7th International Conference on Computational Intelligence and Security, CIS 2011 |
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Conference
| Conference | 2011 7th International Conference on Computational Intelligence and Security, CIS 2011 |
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| Country/Territory | China |
| City | Sanya, Hainan |
| Period | 3/12/11 → 4/12/11 |
Keywords
- Evolution algorithm
- Function optimization
- Growth operator
- SWFZIRS
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Sun, S., Zhong, S., & Zhang, B. (2011). Researching on the growth operator SWFZIRS of growth evolution algorithms. In Proceedings - 2011 7th International Conference on Computational Intelligence and Security, CIS 2011 (pp. 135-138). Article 6128091 (Proceedings - 2011 7th International Conference on Computational Intelligence and Security, CIS 2011). https://doi.org/10.1109/CIS.2011.38