This Letter introduces an optimisation method that is based on parallelism to simulate the behaviour of foraging ants using spiking neural P (SN P) systems. The proposed method is designed by collaborating several SN P systems to obtain a polynomial time optimal solution. The complexity and reliability of the method have been verified. A theoretical analysis has been performed on the measures of complexity and proved the efficiency of the scheme.

中文翻译：

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刺激神经Pant优化：蚁群优化的新方法

这封信介绍了一种基于并行性的优化方法，可以使用尖峰神经P（SN P）系统来模拟觅食蚂蚁的行为。通过协同多个SN P系统来设计所提出的方法，以获得多项式时间最优解。该方法的复杂性和可靠性已得到验证。对复杂性的度量进行了理论分析，证明了该方案的有效性。