An Evolutionary Design Method for an Adder with Spiking Neural P Systems

As one of the most widely studied membrane systems, a spiking neural P system (SN P system) consists of three fundamental elements: initial spikes, evolution rules, and connection between neurons. In the previous literatures, the evolutionary design of the SN P systems is usually to select the redundant evolution rules set when the connections between neurons and the initial spikes are known. In this paper, an evolutionary design method of the adder for the SN P systems is proposed. More specifically, an encoding method is introduced to encode the initial spikes and evolution rules. In addition, an evolutionary strategy is proposed to select initial spikes and evolution rules. Finally, according to the encoding method and the evolutionary strategy, an adder based on spiking neural P systems is designed to achieve the addition of natural numbers. The experimental results indicate that the evolutionary design method of the adder for SN P systems is feasible and effective.