Supplementary material: Evolutionary algorithms designing nano particle cancer treatments with multiple particle types
Outputs (23)
In silico optimization of cancer therapies with multiple types of nanoparticles applied at different times (2020)
Journal Article
© 2020 The Author(s) Background and Objective: Cancer tumors constitute a complicated environment for conventional anti-cancer treatments to confront, so solutions with higher complexity and, thus, robustness to diverse conditions are required. Alter... Read More about In silico optimization of cancer therapies with multiple types of nanoparticles applied at different times.
Harnessing adaptive novelty for automated generation of cancer treatments (2020)
Journal Article
© 2020 The Authors Nanoparticles have the potential to modulate both the pharmacokinetic and pharmacodynamic profiles of drugs, thereby enhancing their therapeutic effect. The versatility of nanoparticles allows for a wide range of customization poss... Read More about Harnessing adaptive novelty for automated generation of cancer treatments.
Novelty search employed into the development of cancer treatment simulations (2020)
Journal Article
Conventional optimization methodologies may be hindered when the automated search is stuck into local optima because of a deceptive objective function landscape. Consequently, open ended search methodologies, such as novelty search, have been propose... Read More about Novelty search employed into the development of cancer treatment simulations.
Belousov-Zhabotinsky liquid marbles in robot control (2019)
Journal Article
© 2019 Elsevier B.V. We show how to control the movement of a wheeled robot using on-board liquid marbles made of Belousov-Zhabotinsky solution droplets coated with polyethylene powder. Two stainless steel, iridium coated electrodes were inserted in... Read More about Belousov-Zhabotinsky liquid marbles in robot control.
Hardware implementation of a biomimicking hybrid CA (2018)
Presentation / Conference Contribution
A hybrid model, combining a Cellular Automaton (CA) and a multi-agent system, was proposed to mimic the computation abilities of the plasmodium of Physarum polycephalum. This model was implemented on software, as well as, on hardware, namely on a Fie... Read More about Hardware implementation of a biomimicking hybrid CA.
Fluidic gates simulated with lattice Boltzmann method under different Reynolds numbers (2018)
Journal Article
© 2018 Elsevier B.V. Fluidic devices use fluid as a medium for information transfer and computation. Boolean values are represented by the presence of fluid jets in the input and output channels. Velocity of a fluid is one of the parameters determini... Read More about Fluidic gates simulated with lattice Boltzmann method under different Reynolds numbers.
Modelling microbial fuel cells using Lattice Boltzmann methods (2018)
Journal Article
An accurate modelling of bio-electrochemical processes that govern Microbial Fuel Cells (MFCs) and mapping their behaviour according to several parameters will enhance the development of MFC technology and enable their successful implementation in we... Read More about Modelling microbial fuel cells using Lattice Boltzmann methods.
Towards implementation of cellular automata in Microbial Fuel Cells (2017)
Journal Article
© 2017 Tsompanas et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are... Read More about Towards implementation of cellular automata in Microbial Fuel Cells.
Cellular non-linear network model of microbial fuel cell (2017)
Journal Article
© 2017 Elsevier B.V. A cellular non-linear network (CNN) is a uniform regular array of locally connected continuous-state machines, or nodes, which update their states simultaneously in discrete time. A microbial fuel cell (MFC) is an electro-chemica... Read More about Cellular non-linear network model of microbial fuel cell.