Studying the Performance of Quantum Evolutionary Algorithm Based on Immune Theory

Authors:
Xiaoming You;Sheng Liu;Dianxun Shuai
Affiliations:
College of Electronic and Electrical Engineering, Shanghai University of Engineering Science ,200065 Shanghai, China and Dept of Computer Science and Technology, East China University of Science a ...;College of Electronic and Electrical Engineering, Shanghai University of Engineering Science ,200065 Shanghai, China and Dept of Computer Science and Technology, East China University of Science a ...;Dept of Computer Science and Technology, East China University of Science and Technology, 200237 Shanghai, China
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Year:
2007

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Abstract

A novel quantum evolutionary algorithm based on immune operator (MQEA) is proposed. The algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, immune cell can accomplish cross-mutation and Self-adaptive mutation, memory cells can be produced and similar antibodies can be suppressed. It not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed. The technique for improving the performance of MQEA has been described and its superiority is shown by some simulation experiments in this paper.