activity
20002026
most citedCharacterisation of the probabilistic travelling salesman problem

56 citations · 108 across the 6 of their papers we have counts for

collaborators

6 papers

physics.ao-ph2026

Remote sensing of the temporal and spatial variability of atmospheric refractivity using ADS-B interferometry (ADSBi)

Ollie Lewis, Chris Brunt, Malcolm Kitchen +2

The extreme variability of humidity in the lower atmosphere over short spatial and temporal scales presents an enormous challenge for existing observing systems. Variations in humi…

cond-mat.stat-mech2004★ 6 cited

Off-lattice Noise Reduced Diffusion-limited Aggregation in Three Dimensions

Neill E. Bowler, Robin C. Ball

Using off-lattice noise reduction it is possible to estimate the asymptotic properties of diffusion-limited aggregation clusters grown in three dimensions with greater accuracy tha…

cond-mat.stat-mech2003★ 12 cited

Stochastic Annealing

Robin C. Ball, Thomas M. A. Fink, Neill E. Bowler

We demonstrate that is it possible to simulate a system in thermal equilibrium even when the energy cannot be evaluated exactly, provided the error distribution is known. This lead…

cond-mat.stat-mech2002★ 13 cited

Correction to scaling analysis of diffusion-limited aggregation

Ellak Somfai, Robin C. Ball, Neill E. Bowler +1

Diffusion-limited aggregation is consistent with simple scaling. However, strong subdominant terms are present, and these can account for various earlier claims of anomalous scalin…

cond-mat.stat-mech2001★ 21 cited

Off-lattice noise reduction and the ultimate scaling of DLA in two dimensions

Robin C. Ball, Neill E. Bowler, Leonard M. Sander +1

Off-lattice DLA clusters grown with different levels of noise reduction are found to be consistent with a simple fractal fixed point. Cluster shapes and their ensemble variation ex…

physics.comp-ph2000★ 56 cited

Characterisation of the probabilistic travelling salesman problem

Neill E. Bowler, Thomas M. Fink, Robin C. Ball

We show that Stochastic Annealing can be successfully applied to gain new results on the Probabilistic Traveling Salesman Problem (PTSP). The probabilistic "traveling salesman" mus…