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A membrane algorithm with quantum-inspired subalgorithms and its application to image processing

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Abstract

This paper presents a membrane algorithm, called MAQIS, by appropriately combining concepts and principles of membrane computing and quantum-inspired evolutionary approach. MAQIS has four distinct features from the membrane algorithms reported in the literature: initial solutions are only inside the skin membrane; different regions separated by membranes have different components of the algorithm; all the components inside membranes cooperate to produce offspring in a single evolutionary generation; communication rules are performed in a single evolutionary step. Extensive experiments conducted on knapsack problems show that MAQIS outperforms five counterpart approaches and our previous work. The effectiveness of MAQIS is also verified in the application of image processing.

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Acknowledgements

We are grateful to the anonymous reviewers for their comments that allowed us to improve this paper. The work of GZ was supported by the National Natural Science Foundation of China (61170016), the Program for New Century Excellent Talents in University (NCET-11-0715), the project-sponsored by SRF for ROCS, SEM, the Scientific and Technological Funds for Young Scientists of Sichuan (09ZQ026-040), the Fund for Candidates of Provincial Academic and Technical Leaders of Sichuan and the Fundamental Research Funds for the Central Universities (SWJTU11ZT07). The work of MG was partially supported by CNCSIS-UE-FISCSU project number PNII-IDEI 643/2008.

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Correspondence to Gexiang Zhang.

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Zhang, G., Gheorghe, M. & Li, Y. A membrane algorithm with quantum-inspired subalgorithms and its application to image processing. Nat Comput 11, 701–717 (2012). https://doi.org/10.1007/s11047-012-9320-2

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