Spiking neural P grey wolf optimization system: Novel strategies for solving non-determinism problems

作者：

Highlights：

• Developing a new Spiking Neural P Grey Wolf Optimization System.

• Novel strategies for solving non-determinism problem of Spiking Neural P systems.

• Design a new mathematical model of the grey wolf optimization algorithm.

• Control the copying spikes process among neurons is developed.

• Consider the time control approach to avoid non-determinism inside neurons.

摘要

•Developing a new Spiking Neural P Grey Wolf Optimization System.•Novel strategies for solving non-determinism problem of Spiking Neural P systems.•Design a new mathematical model of the grey wolf optimization algorithm.•Control the copying spikes process among neurons is developed.•Consider the time control approach to avoid non-determinism inside neurons.

论文关键词：SN P systems,Grey wolf optimizer,Power of signal,Bio-inspired computing,Membrane computing

论文评审过程：Received 7 May 2018, Revised 12 November 2018, Accepted 17 December 2018, Available online 18 December 2018, Version of Record 20 December 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.12.029