A new intelligent artificial immune systems based ensemble for high-dimensional data clustering

2014 ◽  
Vol 11 (3) ◽  
pp. 167-181
Author(s):  
Jamal Al-Enzi ◽  
Salah Al-Sharhan ◽  
Maysam Abbod
Keyword(s):  
Data Clustering ◽  
High Dimensional Data ◽  
Artificial Immune Systems ◽  
High Dimensional ◽  
Artificial Immune ◽  
Immune Systems

scholarly journals Application of Bio-inspired Metaheuristics in the Data Clustering Problem

2011 ◽  
Vol 14 (3) ◽  
Author(s):  
Thelma Elita Colanzi ◽  
Wesley Klewerton Guez Assunção ◽  
Aurora Trinidad Ramirez Pozo ◽  
Ana Cristina B. Kochem Vendramin ◽  
Diogo Augusto Barros Pereira ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Clustering Analysis ◽  
Data Clustering ◽  
Artificial Immune Systems ◽  
Artificial Immune ◽  
Considerable Effort ◽  
Number Of Clusters ◽  
Immune Systems ◽  
Clustering Problem ◽  
Natural Groups

Clustering analysis includes a number of different algorithms and methods for grouping objects by their similar characteristics into categories. In recent years, considerable effort has been made to improve such algorithms performance. In this sense, this paper explores three different bio-inspired metaheuristics in the clustering problem: Genetic Algorithms (GAs), Ant Colony Optimization (ACO), and Artificial Immune Systems (AIS). This paper proposes some refinements to be applied to these metaheuristics in order to improve their performance in the data clustering problem. The performance of the proposed algorithms is compared on five different numeric UCI databases. The results show that GA, ACO and AIS based algorithms are able to efficiently and automatically forming natural groups from a pre-defined number of clusters.

Developing an Algorithm for the Application of Bayesian Method to Software Using Artificial Immune Systems

2021 ◽  
Author(s):  
Shafagat Mahmudova
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
Bayesian Method ◽  
Artificial Immune Systems ◽  
Artificial Immune ◽  
Computational System ◽  
Malicious Software ◽  
Immune Systems ◽  
Advantages And Disadvantages ◽  
Protection Systems

Abstract This study provides information on artificial immune systems. The artificial immune system is an adaptive computational system that uses models, principles, mechanisms and functions to describe and solve the problems in theoretical immunology. Its application in various fields of science is explored. The theory of natural immune systems and the key features and algorithms of artificial immune system are analyzed. The advantages and disadvantages of protection systems based on artificial immune systems are shown. The methods for malicious software detection are studied. Some works in the field of artificial immune systems are analyzed, and the problems to be solved are identified. A new algorithm is developed for the application of Bayesian method in software using artificial immune systems, and experiments are implemented. The results of the experiment are estimated to be good. The advantages and disadvantages of AIS were shown. To eliminate the disadvantages, perfect AISs should be developed to enable the software more efficient and effective.

scholarly journals Special Issue on Artificial Immune Systems: Theory and Applications

2007 ◽  
Vol 19 (4) ◽  
pp. 647-647
Author(s):  
Xiao-Zhi Gao ◽  
Mo-Yuen Chow ◽  
David Pelta ◽  
Jon Timmis
Keyword(s):  
Systems Theory ◽  
Artificial Immune Systems ◽  
Special Issue ◽  
Artificial Immune ◽  
Immune Systems
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