A novel immune quantum-inspired genetic algorithm

Authors:
Ying Li;Yanning Zhang;Yinglei Cheng;Xiaoyue Jiang;Rongchun Zhao
Affiliations:
School of Computer, Northwest Polytechnical University, Xi'an, China;School of Computer, Northwest Polytechnical University, Xi'an, China;School of Computer, Northwest Polytechnical University, Xi'an, China;School of Computer, Northwest Polytechnical University, Xi'an, China;School of Computer, Northwest Polytechnical University, Xi'an, China
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Year:
2005

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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.