ARTIFICIAL IMMUNE SYSTEMS AND APPLICATIONS IN INDUSTRIAL PROBLEMS

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Gazi University Journal of Science
Volume:17 Issue:1
ARTIFICIAL IMMUNE SYSTEMS AND APPLICATIONS IN INDUSTRIAL PROBLEMS

ARTIFICIAL IMMUNE SYSTEMS AND APPLICATIONS IN INDUSTRIAL PROBLEMS

Authors : Orhan ENGİN, Alper DÖYEN

Pages : 71-84

View : 12 | Download : 10

Publication Date : 2010-08-11

Article Type : Other Papers

Abstract :Normal 0 21 false false false TR X-NONE X-NONE MicrosoftInternetExplorer4 Artificial Immune Systems insert ignore into journalissuearticles values(AIS); can be defined as computational systems inspired by theoretical immunology, observed immune functions, principles and mechanisms in order to solve complex problems. In this paper; description, problem solving technique and industrial applications of artificial immune systems are presented. Biologically inspired algorithms are artificial intelligence techniques that in recent years, have been are improved to solve Non Polinomial- NP problems. These are; genetic algorithms, ant colonies optimization and artificial immune systems. Also in this paper the two biologically inspired techniques; artificial immune systems and genetic algorithms are compared, to determine their strong and weak aspects. Key Words: Artificial Immune Systems, Genetic Algorithms, Negative Selection, Clonal Selection
Keywords : Artificial Immune Systems, Genetic Algorithms, Negative Selection, Clonal Selection

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