The programmability of membrane systems is an ongoing and challenging issue. This paper focuses on the automatic design of a simple membrane system for fulfilling a specific task by using a quantum-inspired evolutionary algorithm and the P-lingua simulator. The design consists of the pre-defined membrane structure and initial objects, a set of possible evolution rules, the coding technique of membrane systems, evolutionary operators and a fitness function for evaluating different membrane systems. Experiments conducted on P-lingua simulator show that the presented design approach is feasible and effective to automatically evolve a membrane system for solving some specific tasks. The results also show that a quantum-inspired evolutionary algorithm is more appropriate than a genetic algorithm, recently reported in the literature, for designing a membrane system. © 2012 Springer-Verlag.
CITATION STYLE
Huang, X., Zhang, G., Rong, H., & Ipate, F. (2012). Evolutionary design of a simple membrane system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7184 LNCS, pp. 203–214). https://doi.org/10.1007/978-3-642-28024-5_14
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