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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks Volume 18
Editor
Cihan H. Dagli
Cihan H. Dagli
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ISBN-10:
0791802823
ISBN:
9780791802823
No. of Pages:
700
Publisher:
ASME Press
Publication date:
2008

The mammalian immune systems show vast adaptivity. The adaptivity is characterized by responsiveness and diversity. The responsiveness is arisen from the response network of the immune systems and the diversity is produced from the rearrangement of the genes related to the immune systems. Recently, many artificial immune algorithms have been devised inspiring with the natural immune systems. This paper proposes a new scheme of artificial immune algorithm, named Rearrangement Immune Algorithm (RIA), in which the rearrangement of the immune system is explicitly utilized combining with the evolution of the gene library using a Genetic Algorithm (GA). We show the performance of the RIA via applying an HP protein folding problem.

Abstract
Introduction
Diversity Creation Mechanisms in the Natural Immune System
Rearrangement Immune Algorithm
Protein folding in the 2D HP model
Coding and Experimental Parameters
Results
Conclusion
References
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