This work is a survey of the most recent results regarding the computational power of the
networks of bio-inspired processors whose communication is based on a new protocol …

Abstract Networks of Evolutionary Processors (NEP) is a bio-inspired computational model
defining theoretical computing devices able to solve NP-complete problems in an efficient …

Abstract Networks of Evolutionary Processors (NEP) are a bio-inspired computational model
able to solve NP complete problems in an efficient manner. Up to now, the only way to …

In this paper we consider a new highly parallel and distributed bio-inspired computational
model having its underlying structure an undirected graph whose nodes are processors that …

We consider tissue P systems working on vesicles of multisets with the very simple
operations of insertion, deletion, and substitution of single objects. With the whole multiset …

We improve previous results obtained for networks of evolutionary processors—using the
operations insertion, deletion, and substitution on strings—with elementary polarizations− 1 …

Networks of evolutionary processors (NEP for short) form a class of models within the new
computational paradigms inspired by biological phenomena. They are known to be …

We improve previous results obtained for networks of evolutionary processors with
elementary polarizations-1, 0, 1 by showing that only the very small number of seven …

The Network of Polarized Evolutionary Processors (NPEP) is a rather new variant of the bio-
inspired computing model called Network of Evolutionary Processors (NEP). This model …

Searching for new efficient algorithms to solve complex optimization problems in big data
scenarios is a priority, especially when the search space increases exponentially with the …