Optimization of the p-Hub Median Problem via Artificial Immune Systems

2019 ◽  
pp. 350-362
Author(s):  
Stephanie Alvarez Fernandez ◽  
Gabriel Lins e Nobrega ◽  
Daniel G. Silva
Keyword(s):  
Artificial Immune Systems ◽  
Artificial Immune ◽  
Median Problem ◽  
Immune Systems

scholarly journals Artificial Immune Systems for Solving the Uncapacitated Single-Allocation p-Hub Median Problem

2018 ◽  
Author(s):  
Gabriel L. Nobrega ◽  
Vinicius J. Tasso ◽  
Allan G. Souza ◽  
Stephanie A. Fernandez ◽  
Daniel G. Silva
Keyword(s):  
Network Design ◽  
Optimization Problems ◽  
Artificial Immune Systems ◽  
Research Interest ◽  
Artificial Immune ◽  
Hub Location ◽  
Median Problem ◽  
Immune Systems ◽  
Single Allocation

Optimization problems such as the Uncapacitated Single-Allocation p-Hub Median Problem represent good models for real network design issues, hence an increasing research interest has emerged. A good hub location reduces costs and improves the quality of delivered services on network-based systems. In this work, two artificial immune systems are employed in order to address the problem, where the numerical results indicate good quality of solutions.

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

scholarly journals Further Developments on Router Nodes Positioning for Wireless Networks using Artificial Immune Systems

2016 ◽  
Author(s):  
Pedro Henrique Gouvêa Coelho ◽  
J. L. M. do Amaral ◽  
J. F. M. do Amaral ◽  
L. F. de A. Barreira ◽  
A. V. de Barros
Keyword(s):  
Wireless Networks ◽  
Artificial Immune Systems ◽  
Artificial Immune ◽  
Immune Systems
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