An Improved Membrane Algorithm for Solving Time-Frequency Atom Decomposition

被引：0
|
作者：
Liu, Chunxiu [1 ]
Zhang, Gexiang [1 ]
Liu, Hongwen [1 ]
Gheorghe, Marian [2 ,3 ]
Ipate, Florentin [3 ]
机构：
[1] SW Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Peoples R China
[2] Univ Sheffield, Dept Comp Sci, Sheffield S1 4DP, S Yorkshire, England
[3] Univ Pitesti, Dept Comp Sci & Math, Pitesti, Romania
来源：
MEMBRANE COMPUTING | 2010年 / 5957卷
基金：
中国国家自然科学基金;
关键词：
INSPIRED EVOLUTIONARY ALGORITHM; P-SYSTEMS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：371 / +
页数：3
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