Evolutionary artificial immune system optimization

2010 ◽  
Author(s):  
André Ferry Barreira ◽  
Carlos Eduardo de Jesus Guimarães Oliveira ◽  
Otávio Noura Teixeira ◽  
Roberto Célio Limão de Oliveira
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
System Optimization ◽  
Artificial Immune

scholarly journals Pengenalan Pola Angka Menggunakan Pendekatan Optimisasi Sistem Kekebalan Buatan (Artificial Immune System)

2021 ◽  
Vol 5 (3) ◽  
pp. 856
Author(s):  
Anggari Ayu Prahartiningsyah ◽  
Tri Basuki Kurniawan
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
System Optimization ◽  
Recognition System ◽  
Optimization Approach ◽  
Artificial Immune ◽  
Technical Problems ◽  
Negative Selection Algorithm ◽  
Number Pattern ◽  
The Difference

The general election in Indonesia itself still experiences technical and non-technical problems where the technical problems occur in the recapitulation of votes from sheet C1 which are still incorrectly inputted and done manually. The problem occurred with the difference in the uploaded C1 data and the data in the KPU Situng and the C1 sheet uploaded was blurry, unclear, sheet C1 which was crossed out or folded in the KPU Situng. The purpose of this research is to reduce errors in data input and change the work that is done manually to the system, create a number pattern recognition system using an Artificial Immune System optimization approach, test and analyze the work of the system by taking into account the level of accuracy, preciseness and speed in recognize number patterns. The system created to applies an artificial immune system optimization approach with the Artificial Immune System using the Randomized Real-Valued Negative Selection Algorithm algorithm.

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