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Membrane Computing is an emergent and promising branch of Natural Computing. Designing P systems is heavy constitutes a dificult problem. The candidate has often had an idea about the problem solution form. On the other hand, finding the exact and precise configurations and rules is a hard task, especially if there is no tool used to help in the designing process. The clonal selection algorithm, which is inspired from the vertebrate immune system, is introduced here to help in designing a P system that performs a specific task. This paper illustrates the use of the clonal selection algorithm with adaptive mutation in P systems design and compares it with genetic algorithms previously used to achieve the same purpose. Experimental results show that clonal selection algorithm surpasses genetic algorithms with a great diference.

Key words and phrases. membrane computing, P systems, artificial immune system, clonal selection algorithm.