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Issue title: Membrane Computing
Article type: Research Article
Authors: Zhang, Ge-Xiang | Gheorghe, Marian | Wu, Chao-Zhong
Affiliations: School of Electrical Engineering, Southwest Jiaotong University, Chengdu, Sichuan, 610031, P.R. China. [email protected] | Department of Computer Science, The University of Sheffield, Regent Court, Portobello Street, Sheffield, S1 4DP, UK. [email protected] | Engineering Research Center of Transportation Safety, Ministry of Education, Wuhan University of Technology, Wuhan, Hubei, 430063, P.R.China. [email protected]
Note: [] Address for correspondence: School of Elect. Engin., Southwest Jiaotong University, Chengdu, Sichuan, 610031, P.R.China. This work is supported by the National Natural Science Foundation of China (60702026, 60572143)
Abstract: 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.
Keywords: Quantum-inspired evolutionary algorithm, P systems, knapsack problem
Journal: Fundamenta Informaticae, vol. 87, no. 1, pp. 93-116, 2008
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