A survey of nature-inspired computing: Membrane computing
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 …
which is based on the employ of paradigms, mechanisms, and principles underlying natural …
A bibliometric analysis of membrane computing (1998–2019)
H Rong, Y Duan, G Zhang - Journal of Membrane Computing, 2022 - Springer
Membrane computing as a topic in the Mathematics Subjects Classification 2020 by
Mathematical Reviews and zbMATH is a sign of maturity of this research area initiated in the …
Mathematical Reviews and zbMATH is a sign of maturity of this research area initiated in the …
A layered spiking neural system for classification problems
Biological brains have a natural capacity for resolving certain classification tasks. Studies on
biologically plausible spiking neurons, architectures and mechanisms of artificial neural …
biologically plausible spiking neurons, architectures and mechanisms of artificial neural …
[BUCH][B] Real-life applications with membrane computing
Membrane computing is a vibrant and fast-growing research area of natural computation
which covers the study of computing models, called membrane systems or P systems …
which covers the study of computing models, called membrane systems or P systems …
An adaptive optimization spiking neural P system for binary problems
M Zhu, Q Yang, J Dong, G Zhang, X Gou… - … Journal of Neural …, 2021 - World Scientific
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 …
directly derive an approximate solution of combinatorial problems with a specific reference …
Spiking neural P systems with polarizations
Spiking neural P (SN P) systems are a class of parallel computation models inspired by
neurons, where the firing condition of a neuron is described by a regular expression …
neurons, where the firing condition of a neuron is described by a regular expression …
Asynchronous spiking neural P systems with local synchronization
Spiking neural P systems (SN P systems, for short) are a class of distributed parallel
computing devices inspired from the way neurons communicate by means of spikes …
computing devices inspired from the way neurons communicate by means of spikes …
A novel bat algorithm with dynamic membrane structure for optimization problems
To improve the optimization efficiency for different optimization problems and take
advantage of the dynamic membrane computing framework, this paper proposes an …
advantage of the dynamic membrane computing framework, this paper proposes an …
Numerical spiking neural P systems
Spiking neural P (SN P) systems are a class of discrete neuron-inspired computation
models, where information is encoded by the numbers of spikes in neurons and the timing of …
models, where information is encoded by the numbers of spikes in neurons and the timing of …
A hybrid approach based on differential evolution and tissue membrane systems for solving constrained manufacturing parameter optimization problems
This paper presents a hybrid approach based on appropriately combining Differential
Evolution algorithms and Tissue P Systems (DETPS for short), used for solving a class of …
Evolution algorithms and Tissue P Systems (DETPS for short), used for solving a class of …