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Article
GPU implementation of evolving spiking neural P systems
(ScienceDirect, 2022-09)
Methods for optimizing and evolving spiking neural P systems (in short, SN P systems) have been previously developed with the use of a genetic algorithm framework. So far, these computations, both evolving and simulating, ...
Article
Restart particle swarm optimization with velocity modulation: a scalability test
(Springer, 2011)
Large scale continuous optimization problems are more relevant in current benchmarks since they are more representative of real-world problems (bioinformatics, data mining, etc.). Unfortunately, the performance of most of ...
Article
Fuzzy reasoning spiking neural P system for fault diagnosis
(Elsevier, 2013)
Spiking neural P systems (SN P systems) have been well established as a novel class of distributed parallel computing models. Some features that SN P systems possess are attractive to fault diagnosis. However, handling ...
Article
Spiking neural P systems with extended rules: universality and languages
(Springer, 2008)
We consider spiking neural P systems with rules allowed to introduce zero, one, or more spikes at the same time. The motivation comes both from constructing small universal systems and from generating strings; previous ...
Article
An infinite hierarchy of languages defined by dP systems
(Elsevier, 2012)
Here, we continue the study of the recently introduced dP automata. They are symport/antiport P systems consisting of a number of components, each one accepting a string, and working together in recognizing the concatenation ...
Article
Inference of gene regulatory networks with multi-objective cellular genetic algorithm
(Elsevier, 2019)
Reverse engineering of biochemical networks remains an important open challenge in computational systems biology. The goal of model inference is to, based on time-series gene expression data, obtain the sparse ...