A novel quantum-inspired immune clonal algorithm with the evolutionary game approach

作者：Wu Qiuyi; Jiao Licheng; Li Yangyang; Deng Xiaozheng

来源：Progress in Natural Science, 2009, 19(10): 1341-1347.

DOI：10.1016/j.pnsc.2009.02.007

• Game theory
• Evolutionary game
• Replicator dynamics
• Quantum-inspired optimization
• Artificial immune system

The quantum-inspired immune clonal algorithm (QICA) is a rising intelligence algorithm. Based on evolutionary game theory and QICA, a quantum-inspired immune algorithm embedded with evolutionary game (EGQICA) is proposed to solve combination optimization problems. In this paper, we map the quantum antibody's finding the optimal solution to player's pursuing maximum utility by choosing strategies in evolutionary games. Replicator dynamics is used to model the behavior of the quantum antibody and the memory mechanism is also introduced in this work. Experimental results indicate that the proposed approach maintains a good diversity and achieves superior performance.

• 出版日期2009-10-10
• 单位西安电子科技大学