NDLI: A Memetic Algorithm Based on P Systems for IIR Digital Filter Design

Content Provider	IEEE Xplore Digital Library
Author	Chunxiu Liu Gexiang Zhang Xuebai Zhang Hongwen Liu
Copyright Year	2009
Abstract	To improve the local search capability of quantum-inspired evolutionary algorithm based on P systems (QEPS), a memetic algorithm based on P systems (MAPS) was proposed. MAPS is a hybrid algorithm combining the hierarchical framework and evolution rules of P systems with real-observation quantum-inspired evolutionary algorithms (rQIEA) and local search methods (LS). In MAPS, rQIEA is employed in elementary membranes to explore the whole solution space and TS is applied inside the skin membrane to search the neighbouring domains of each variable of the best solution obtained. Five complex benchmark functions with 100 dimensions are employed to test the effectiveness of the approach. Experimental results show that MAPS performs better than rQIEA in terms of search ability and stability. In addition, this paper presents the application of membrane algorithms to infinite-impulse response (IIR) digital filter design. The experiments show that MAPS can obtain better digital filter performances than NQGA and GA.
Starting Page	330
Ending Page	334
File Size	288757
Page Count	5
File Format	PDF
ISBN	9780769539294
e-ISBN	9781424454211
DOI	10.1109/DASC.2009.63
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Stability Evolutionary computation Digital filters Distributed computing membrane computing Genetic algorithms Search methods IIR digital filter memetic algorithm Benchmark testing Biomembranes Skin
Content Type	Text
Resource Type	Article

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