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Membrane Algorithms

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Real-life Applications with Membrane Computing

Part of the book series: Emergence, Complexity and Computation ((ECC,volume 25))

Abstract

Membrane Algorithms (MAs) area is focusing on developing new variants of meta-heuristic algorithms for solving complex optimization problems by using either the hierarchical or network membrane structures, evolution rules and computational capabilities of membrane systems and the methods and well-established techniques employed in Evolutionary Computation. MAs studied in this volume, and described in this Chapter, refer to four variants of meta-heuristics using the hierarchical structure of the membrane systems - nested membrane structure, one-level membrane structure, hybrid membrane structure and dynamic membrane structure; whereas those using the network structure consist of two subcategories - statical network structure and dynamical network structure.

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Authors and Affiliations

  1. Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu, China

    Gexiang Zhang

  2. Robotics Research Center, Xihua University, Chengdu, China

    Gexiang Zhang

  3. Department of Computer Science and Artificial Intelligence, University of Seville, Sevilla, Spain

    Mario J. Pérez-Jiménez

  4. School of Electrical Engineering and Computer Science, University of Bradford, Bradford, UK

    Marian Gheorghe

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Zhang, G., Pérez-Jiménez, M.J., Gheorghe, M. (2017). Membrane Algorithms. In: Real-life Applications with Membrane Computing. Emergence, Complexity and Computation, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-319-55989-6_3

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