Abstract
A new algorithm, the immune quantum-inspired genetic algorithm (IQGA), is proposed by introducing immune concepts and methods into quantum-inspired genetic algorithm (QGA). In application to the knapsack problem, which is a well-known combinatorial optimization problem, the proposed algorithm performs better than the conventional GA (CGA), the immune GA (IGA) and QGA. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
APA
Li, Y., Zhang, Y., Cheng, Y., Jiang, X., & Zhao, R. (2005). A novel immune quantum-inspired genetic algorithm. In Lecture Notes in Computer Science (Vol. 3612, pp. 215–218). Springer Verlag. https://doi.org/10.1007/11539902_25
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