Artificial immune system based remainder method for multimodal mathematical function optimization
Artificial immune system (AIS) is one of the nature-inspired algorithm for solving optimization problems. In AIS, clonal selection algorithm (CSA) is able to improve global searching ability compare to other meta-heuristic methods. However, the CSA rate of convergence and accuracy can be further imp...
保存先:
主要な著者: | Yap D.F.W., Koh S.P., Tiong S.K. |
---|---|
その他の著者: | 22952562500 |
フォーマット: | 論文 |
出版事項: |
2023
|
主題: | |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
An improved artificial immune system based on antibody remainder method for mathematical function optimization
著者:: Yap D.F.W., 等
出版事項: (2023) -
Artificial immune system based on hybrid and external memory for mathematical function optimization
著者:: Yap D.F.W., 等
出版事項: (2023) -
A comparative analysis on the performance of particle swarm optimization and artificial immune systems for mathematical test functions
著者:: Yap D.F.W., 等
出版事項: (2023) -
Global optimal analysis of variant genetic operations in solar tracking
著者:: Fam D.F., 等
出版事項: (2023) -
Artificial immune algorithm based gravimetric fluid dispensing machine
著者:: Yap D.F.W., 等
出版事項: (2023)