Abstract
Artificial Immune Systems (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
Details
| Primary Language | English |
|---|---|
| Journal Section | Industrial Engineering |
| Authors | |
| Publication Date | August 11, 2010 |
| Published in Issue | Year 2004 Volume: 17 Issue: 1 |