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A bio-inspired algorithm for identification of critical components in the transportation networks (2014)
Journal Article
Zhang, X., Adamatzky, A., Yang, H., Mahadaven, S., Yang, X. S., Wang, Q., & Deng, Y. (2014). A bio-inspired algorithm for identification of critical components in the transportation networks. Applied Mathematics and Computation, 248, 18-27. https://doi.org/10.1016/j.amc.2014.09.055

© 2014 Elsevier Inc. All rights reserved. Critical components in a transportation or communication network are those which should be better protected or secured because their removal has a significant impact on the whole network. In such networks, th... Read More about A bio-inspired algorithm for identification of critical components in the transportation networks.

The Physarum polycephalum actin network: Formalisation, topology and morphological correlates with computational ability (2014)
Presentation / Conference
Mayne, R., & Adamatzky, A. (2014, December). The Physarum polycephalum actin network: Formalisation, topology and morphological correlates with computational ability. Presented at BICT 2014, Boston, USA

The plasmodial form of slime mould Physarum polycephalum is a macroscopic acellular organism that is capable of apparently intelligent behaviour, yet it lacks any features usually associated with intelligence. In this investigation, we study the morp... Read More about The Physarum polycephalum actin network: Formalisation, topology and morphological correlates with computational ability.

Supplier selection based on evidence theory and analytic network process (2014)
Journal Article
Mahadevan, S., Chan, F. T., Deng, Y., Zhang, X., & Adamatzky, A. (2016). Supplier selection based on evidence theory and analytic network process. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 230(3), 562-573. https://doi.org/10.1177/0954405414551105

© IMechE 2014. The supplier selection is a key component of the supply chain management. Existing methods for the supplier selection are based on analytic network process. They can handle the interdependence of decision attributes; however, these met... Read More about Supplier selection based on evidence theory and analytic network process.

Complete characterization of structure of rule 54 (2014)
Journal Article
Martinez, G. J., Adamatzky, A., & McIntosh, H. V. (2014). Complete characterization of structure of rule 54. Complex Systems -Champaign-, 23(3), 259-293

The dynamics of rule 54 one-dimensional two-state cellular automaton (CA) are a discrete analog of a space-time dynamics of excitations in nonlinear active medium with mutual inhibition. A cell switches its state 0 to state 1 if one of its two neighb... Read More about Complete characterization of structure of rule 54.

Material approximation of data smoothing and spline curves inspired by slime mould (2014)
Journal Article
Jones, J., & Adamatzky, A. (2014). Material approximation of data smoothing and spline curves inspired by slime mould. Bioinspiration and Biomimetics, 9(3), https://doi.org/10.1088/1748-3182/9/3/036016

The giant single-celled slime mould Physarum polycephalum is known to approximate a number of network problems via growth and adaptation of its protoplasmic transport network and can serve as an inspiration towards unconventional, material-based comp... Read More about Material approximation of data smoothing and spline curves inspired by slime mould.

Toward hybrid nanostructure-slime mould devices (2014)
Journal Article
Mayne, R., & Adamatzky, A. (2015). Toward hybrid nanostructure-slime mould devices. Nano LIFE, 5(1), 1450007. https://doi.org/10.1142/S179398441450007X

The plasmodium of slime mould Physarum polycephalum has recently received signi¯cant attention for its value as a highly malleable amorphous computing substrate. In laboratory-based experiments, nanoscale arti¯cial circuit components were introduced... Read More about Toward hybrid nanostructure-slime mould devices.

Slime mould electronic oscillators (2014)
Journal Article
Adamatzky, A. (2014). Slime mould electronic oscillators. Microelectronic Engineering, 124, 58-65. https://doi.org/10.1016/j.mee.2014.04.022

We construct electronic oscillator from acellular slime mould Physarum polycephalum. The slime mould oscillator is made of two electrodes connected by a protoplasmic tube of the living slime mould. A protoplasmic tube has an average resistance of 3 M... Read More about Slime mould electronic oscillators.

Information coding with frequency of oscillations in Belousov-Zhabotinsky encapsulated disks (2014)
Journal Article
Gorecki, J., Gorecka, J. N., & Adamatzky, A. (2014). Information coding with frequency of oscillations in Belousov-Zhabotinsky encapsulated disks. Physical Review E, 89(4), https://doi.org/10.1103/PhysRevE.89.042910

Information processing with an excitable chemical medium, like the Belousov-Zhabotinsky (BZ) reaction, is typically based on information coding in the presence or absence of excitation pulses. Here we present a new concept of Boolean coding that can... Read More about Information coding with frequency of oscillations in Belousov-Zhabotinsky encapsulated disks.

Slime mold microfluidic logical gates (2014)
Journal Article
Adamatzky, A., & Schubert, T. (2014). Slime mold microfluidic logical gates. Materials Today, 17(2), 86-91. https://doi.org/10.1016/j.mattod.2014.01.018

We demonstrate how logical operations can be implemented in ensembles of protoplasmic tubes of acellular slime mold Physarum polycephalum. The tactile response of the protoplasmic tubes is used to actuate analogs of two- and four-input logical gates... Read More about Slime mold microfluidic logical gates.

Evolving spiking networks with variable resistive memories (2014)
Journal Article
Howard, G., Bull, L., de Lacy Costello, B., Gale, E., & Adamatzky, A. (2014). Evolving spiking networks with variable resistive memories. Evolutionary Computation, 22(1), 79-103. https://doi.org/10.1162/EVCO_a_00103

Neuromorphic computing is a brainlike information processing paradigm that requires adaptive learning mechanisms. A spiking neuro-evolutionary system is used for this purpose; plastic resistive memories are implemented as synapses in spiking neural n... Read More about Evolving spiking networks with variable resistive memories.

Rapid Physarum Algorithm for shortest path problem (2014)
Journal Article
Zhang, X., Zhang, Y., Zhang, Z., Mahadevan, S., Adamatzky, A., & Deng, Y. (2014). Rapid Physarum Algorithm for shortest path problem. Applied Soft Computing, 23, 19-26. https://doi.org/10.1016/j.asoc.2014.05.032

As shortest path (SP) problem has been one of the most fundamental network optimization problems for a long time, technologies for this problem are still being studied. In this paper, a new method by integrating a path finding mathematical model, ins... Read More about Rapid Physarum Algorithm for shortest path problem.

Slime mould logic gates based on frequency changes of electrical potential oscillation (2014)
Journal Article
Whiting, J. G. H., de Lacy Costello, B. P. J., & Adamatzky, A. (2014). Slime mould logic gates based on frequency changes of electrical potential oscillation. BioSystems, 124, 21-25. https://doi.org/10.1016/j.biosystems.2014.08.001

Physarum polycephalum is a large single amoeba cell, which in its plasmodial phase, forages and connects nearby food sources with protoplasmic tubes. The organism forages for food by growing these tubes towards detected foodstuff, this foraging behav... Read More about Slime mould logic gates based on frequency changes of electrical potential oscillation.

Emergent spiking in non-ideal memristor networks (2014)
Journal Article
Costello, B. D. L., Gale, E., de Lacy Costello, B., & Adamatzky, A. (2014). Emergent spiking in non-ideal memristor networks. Microelectronics Journal, 45(11), 1401-1415. https://doi.org/10.1016/j.mejo.2014.06.008

© 2014 Elsevier Ltd. All rights reserved. Memristors have uses as artificial synapses and perform well in this role in simulations with artificial spiking neurons. Our experiments show that memristor networks natively spike and can exhibit emergent o... Read More about Emergent spiking in non-ideal memristor networks.

Route 20, autobahn 7, and slime mold: Approximating the longest roads in usa and germany with slime mold on 3-d terrains (2014)
Journal Article
Adamatzky, A. I., & Adamatzky, A. (2014). Route 20, autobahn 7, and slime mold: Approximating the longest roads in usa and germany with slime mold on 3-d terrains. IEEE Transactions on Cybernetics, 44(1), 126-136. https://doi.org/10.1109/TCYB.2013.2248359

A cellular slime mould Physarum polycephalum is a monstrously large single cell visible by an unaided eye. The slime mold explores space in parallel, is guided by gradients of chemoattractants, and propagates toward sources of nutrients along nearly... Read More about Route 20, autobahn 7, and slime mold: Approximating the longest roads in usa and germany with slime mold on 3-d terrains.

Sensory fusion in Physarum polycephalum and implementing multi-sensory functional computation (2014)
Journal Article
Whiting, J., de Lacy Costello, B., & Adamatzky, A. (2014). Sensory fusion in Physarum polycephalum and implementing multi-sensory functional computation. BioSystems, 119(1), 45-52. https://doi.org/10.1016/j.biosystems.2014.03.003

Surface electrical potential and observational growth recordings were made of a protoplasmic tube of the slime mould Physarum polycephalum in response to a multitude of stimuli with regards to sensory fusion or multisensory integration. Each stimulus... Read More about Sensory fusion in Physarum polycephalum and implementing multi-sensory functional computation.

A Biologically Inspired Optimization Algorithm for Solving Fuzzy Shortest Path Problems with Mixed Fuzzy Arc Lengths (2014)
Journal Article
Zhang, X., Wang, Q., Adamatzky, A., Chan, F. T., Mahadevan, S., & Deng, Y. (2014). A Biologically Inspired Optimization Algorithm for Solving Fuzzy Shortest Path Problems with Mixed Fuzzy Arc Lengths. Journal of Optimization Theory and Applications, 163(3), 1049-1056. https://doi.org/10.1007/s10957-014-0542-6

© 2014, Springer Science+Business Media New York. The shortest path problem is among fundamental problems of network optimization. Majority of the optimization algorithms assume that weights of data graph’s edges are pre-determined real numbers. Howe... Read More about A Biologically Inspired Optimization Algorithm for Solving Fuzzy Shortest Path Problems with Mixed Fuzzy Arc Lengths.