52 citations · 62 across the 7 of their papers we have counts for
7 papers
From London to Morse via Binnig, Quate, and Gerber
Sofia Alonso Perez, Matthew O. Blunt, Frederick Carlisle +30
In their landmark paper introducing the atomic force microscope [Phys. Rev. Lett. \textbf{56}, 930 (1986)], Binnig, Quate, and Gerber presciently anticipated that the technique wou…
Towards a Molecular Computer: Enabling Arithmetic Operations in Molecular Communication
Jianqiao Long, Lei Zhang, Miaowen Wen +3
In current molecular communication (MC) systems, performing computational operations at the nanoscale remains challenging, restricting their applicability in complex scenarios such…
AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation
Shouyong Jiang, Hongru Li, Jinglei Guo +4
Population-based evolutionary algorithms have great potential to handle multiobjective optimisation problems. However, these algorithms depends largely on problem characteristics,…
A Scalable Test Suite for Continuous Dynamic Multiobjective Optimisation
Shouyong Jiang, Marcus Kaiser, Shengxiang Yang +2
Dynamic multiobjective optimisation has gained increasing attention in recent years. Test problems are of great importance in order to facilitate the development of advanced algori…
Exploring Programmable Self-Assembly in Non-DNA based Molecular Computing
German Terrazas, Hector Zenil, Natalio Krasnogor
Self-assembly is a phenomenon observed in nature at all scales where autonomous entities build complex structures, without external influences nor centralised master plan. Modellin…
Protein Models Comparator: Scalable Bioinformatics Computing on the Google App Engine Platform
Paweł Widera, Natalio Krasnogor
The comparison of computer generated protein structural models is an important element of protein structure prediction. It has many uses including model quality evaluation, selecti…
Towards the Design of Heuristics by Means of Self-Assembly
German Terrazas, Dario Landa-Silva, Natalio Krasnogor
The current investigations on hyper-heuristics design have sprung up in two different flavours: heuristics that choose heuristics and heuristics that generate heuristics. In the la…