QEAM: An Approximate Algorithm Using P Systems with Active Membranes

  • Gexiang Zhang School of Electrical Engineering, Southwest Jiaotong University Chengdu, 610031, P.R. China
  • Jixiang Cheng School of Electrical Engineering, Southwest Jiaotong University Chengdu, 610031, P.R. China
  • Marian Gheorghe Faculty of Engineering and Informatics, University of Bradford, Bradford, West Yorkshire BD7 1DP, UK,
  • Florentin Ipate Faculty of Mathematics and Computer Science, University of Bucharest Academiei 14, Bucharest, Romania
  • Xueyuan Wang School of Information Engineering Southwest University of Science and Technology MianYang 621010, P.R.China


This paper proposes an approximate optimization approach, called QEAM, which combines a P system with active membranes and a quantum-inspired evolutionary algorithm. QEAM uses the hierarchical arrangement of the compartments and developmental rules of a P system with active membranes, and the objects consisting of quantum-inspired bit individuals, a probabilistic observation and the evolutionary rules designed with quantum-inspired gates to specify the membrane algorithms. A large number of experiments carried out on benchmark instances of satisfiability problem show that QEAM outperforms QEPS (quantum-inspired evolutionary algorithm based on P systems) and its counterpart quantum-inspired evolutionary algorithm.


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How to Cite
ZHANG, Gexiang et al. QEAM: An Approximate Algorithm Using P Systems with Active Membranes. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 10, n. 2, p. 263-279, apr. 2015. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/1757>. Date accessed: 22 may 2022.


Membrane computing, active membranes, approximate optimization approach, quantum-inspired evolutionary algorithm; satisfiability problemThis paper proposes an approximate optimization approach, called QEAM, which combines a P system with active membranes