Paper Title:
Immune-Inspired Quantum Genetic Optimization Algorithm and its Application
  Abstract

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
$32.00
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