Immune-Inspired Quantum Genetic Optimization Algorithm and its Application

Abstract:

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Artificial immune systems (AIS), inspired by the natural immune systems, are an emerging kind of soft computing methods. This paper brings forward an immune-inspired quantum genetic optimization algorithm (IQGOA) based on clonal selection algorithm. The IQGOA is an evolutionary computation method inspired by the immune clonal principle of human immune system. To show the versatility and flexibility of the proposed IQGOA, some examples are given. Experimental results have shown that IQGOA is superior to clonal selection algorithm and Genetic Algorithm (GA) on performance.

Info:

Periodical:

Advanced Materials Research (Volumes 143-144)

Edited by:

H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong

Pages:

547-551

DOI:

10.4028/www.scientific.net/AMR.143-144.547

Citation:

Z. Lian "Immune-Inspired Quantum Genetic Optimization Algorithm and its Application", Advanced Materials Research, Vols. 143-144, pp. 547-551, 2011

Online since:

October 2010

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Price:

$35.00

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