Abstract
Spiking neural P systems are a class of distributed and parallel computing models that incorporate the idea of spiking neurons into P systems. Membrane computing (MC) combining with evolutionary computing (EC) is called evolutionary MC. In this work, we will combine SNPS with heuristic algorithm to solve the travelling salesman problem. To this aim, an extended spiking neural P system (ESNPS) has been proposed. A certain number of ESNPS can be organized into OSNPS. Extensive experiments on TSP have been reported to experimentally prove the viability and effectiveness of the proposed neural system.
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Acknowledgment
This work was supported by the Natural Science Foundation of China (No. 61502283). Natural Science Foundation of China (No. 61472231).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Qi, F., Liu, M. (2018). Optimization Spiking Neural P System for Solving TSP. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_71
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DOI: https://doi.org/10.1007/978-3-319-73447-7_71
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