An improved membrane algorithm for solving time-frequency atom decomposition

  • Authors:
  • Chunxiu Liu;Gexiang Zhang;Hongwen Liu;Marian Gheorghe;Florentin Ipate

  • Affiliations:
  • School of Electrical Engineering, Southwest Jiaotong University, Chengdu, P.R. China;School of Electrical Engineering, Southwest Jiaotong University, Chengdu, P.R. China;School of Electrical Engineering, Southwest Jiaotong University, Chengdu, P.R. China;Department of Computer Science, The University of Sheffield, Sheffield, UK;Department of Computer Science and Mathematics, University of Piteşti, Romania

  • Venue:
  • WMC'09 Proceedings of the 10th international conference on Membrane Computing
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

To decrease the computational complexity and improve the search capability of quantum-inspired evolutionary algorithm based on P systems (QEPS), a real-observation QEPS (RQEPS) was proposed. RQEPS is a hybrid algorithm combining the framework and evolution rules of P systems with active membranes and real-observation quantum-inspired evolutionary algorithm (QEA). The RQEPS involves a dynamic structure including membrane fusion and division. The membrane fusion is helpful to enhance the information communication among individuals and the membrane division is beneficial to reduce the computational complexity. An NP-complete problem, the time-frequency atom decomposition of noised radar emitter signals, is employed to test the effectiveness and practical capabilities of the RQEPS. The experimental results show that RQEPS is superior to QEPS, the greedy algorithm and binary-observation QEA in terms of search capability and computational complexity.