Nature-inspired computing is a type of human-designed computing motivated by nature,
which is based on the employ of paradigms, mechanisms, and principles underlying natural …

The model of membrane computing, also known under the name of P systems, is a bio-
inspired large-scale parallel computing paradigm having a good potential for the design of …

In this paper, a membrane evolutionary artificial potential field (memEAPF) approach for
solving the mobile robot path planning problem is proposed, which combines membrane …

Biological brains have a natural capacity for resolving certain classification tasks. Studies on
biologically plausible spiking neurons, architectures and mechanisms of artificial neural …

Spiking Neural P Systems are Neural System models characterized by the fact that each
neuron mimics a biological cell and the communication between neurons is based on …

Imprecision and uncertainty in the alarm messages may significantly affect the accuracy and
reliability of substation fault diagnosis results. To deal with that, a new rough set-based bio …

An optimization spiking neural P system (OSNPS) aims to obtain the approximate solutions
of combinatorial optimization problems without the aid of evolutionary operators of …

Optimization Spiking Neural P System (OSNPS) is the first membrane computing model to
directly derive an approximate solution of combinatorial problems with a specific reference …

Several variants of spiking neural P systems (SNPS) have been presented in the literature to
perform arithmetic operations. However, each of these variants was designed only for one …

An optimization spiking neural P (OSN P) system is a discrete optimization model without the
aid of evolutionary operators of evolutionary algorithms or swarm intelligence algorithms …