A Quantum-Inspired Evolutionary Algorithm Based on P systems for Knapsack Problem

被引:16
作者
Zhang, Ge-Xiang [1 ,2 ]
Gheorghe, Marian [2 ]
Wu, Chao-Zhong [3 ]
机构
[1] SW Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Sichuan, Peoples R China
[2] Univ Sheffield, Dept Comp Sci, Sheffield S1 4DP, S Yorkshire, England
[3] Wuhan Univ Technol, Minist Educ, Engn Res Ctr Transportat Safety, Wuhan 430063, Hubei, Peoples R China
关键词
Quantum-inspired evolutionary algorithm; P systems; knapsack problem;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This paper introduces an evolutionary algorithm which uses the concepts and principles of the quantum-inspired evolutionary approach and the hierarchical arrangement of the compartments of a P system. The P system framework is also used to formally specify this evolutionary algorithm. Extensive experiments are conducted on a well-known combinatorial optimization problem, the knapsack problem, to test the effectiveness of the approach. These experimental results show that this evolutionary algorithm performs better than quantum-inspired evolutionary algorithms, for certain arrangements of the compartments of the P system structure utilized.
引用
收藏
页码:93 / 116
页数:24
相关论文
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