Trusting intelligent machines: Deepening trust within socio-technical systems P Andras, L Esterle, M Guckert, TA Han, PR Lewis, K Milanovic, T Payne, ... IEEE Technology and Society Magazine 37 (4), 76-83, 2018 | 164 | 2018 |
An overview of agent-based traffic simulators J Nguyen, ST Powers, N Urquhart, T Farrenkopf, M Guckert Transportation research interdisciplinary perspectives 12, 100486, 2021 | 116 | 2021 |
Manipulation and optimisation techniques for Boolean logic BA Al Jassani, N Urquhart, AEA Almaini IET Computers & Digital Techniques 4 (3), 227-239, 2010 | 51 | 2010 |
Influence of Topology and Payload on CO2 Optimised Vehicle Routing C Scott, N Urquhart, E Hart Applications of Evolutionary Computation: EvoApplications 2010: EvoCOMNET …, 2010 | 48 | 2010 |
Building low CO2 solutions to the vehicle routing problem with Time Windows using an evolutionary algorithm N Urquhart, E Hart, C Scott IEEE Congress on Evolutionary Computation, 1-6, 2010 | 34 | 2010 |
State assignment for sequential circuits using multi-objective genetic algorithm BA Al Jassani, N Urquhart, AEA Almaini IET computers & digital techniques 5 (4), 296-305, 2011 | 32 | 2011 |
Optimisation and illumination of a real-world workforce scheduling and routing application (WSRP) via Map-Elites N Urquhart, E Hart Parallel Problem Solving from Nature–PPSN XV: 15th International Conference …, 2018 | 29 | 2018 |
Minimization of incompletely specified mixed polarity reed muller functions using Genetic Algorithm BA Al Jassani, N Urquhart, AEA Almaini 2009 3rd International Conference on Signals, Circuits and Systems (SCS), 1-6, 2009 | 22 | 2009 |
Increasing trust in meta-heuristics by using map-elites N Urquhart, M Guckert, S Powers Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 21 | 2019 |
Using an Evolutionary Algorithm to Discover Low CO2 Tours within a Travelling Salesman Problem N Urquhart, C Scott, E Hart European conference on the applications of evolutionary computation, 421-430, 2010 | 20 | 2010 |
Phase transition properties of clustered travelling salesman problem instances generated with evolutionary computation JI van Hemert, NB Urquhart International Conference on Parallel Problem Solving from Nature, 151-160, 2004 | 18 | 2004 |
An illumination algorithm approach to solving the micro-depot routing problem N Urquhart, S Höhl, E Hart Proceedings of the Genetic and Evolutionary Computation Conference, 1347-1355, 2019 | 13 | 2019 |
An empirical evaluation of a novel domain-specific language–modelling vehicle routing problems with Athos B Hoffmann, N Urquhart, K Chalmers, M Guckert Empirical software engineering 27 (7), 180, 2022 | 12 | 2022 |
Multi-modal employee routing with time windows in an urban environment NB Urquhart, E Hart, A Judson Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 12 | 2015 |
Using semantic technology to model persona for adaptable agents J Nguyen, T Farrenkopf, M Guckert, S Powers, N Urquhart | 10 | 2021 |
Evolving solution choice and decision support for a real-world optimisation problem N Urquhart, A Fonzone Proceedings of the Genetic and Evolutionary Computation Conference, 1264-1271, 2017 | 10 | 2017 |
Agent motion planning with GAs enhanced by memory models. M Bot, NB Urquhart, K Chisholm | 10 | 2001 |
The stuff we swim in: regulation alone will not lead to justifiable trust in AI ST Powers, O Linnyk, M Guckert, J Hannig, J Pitt, N Urquhart, A Ekárt, ... IEEE Technology and Society Magazine 42 (4), 95-106, 2024 | 9 | 2024 |
Automated scheduling and planning: from theory to practice AS Uyar, E Ozcan, N Urquhart Springer, 2013 | 9 | 2013 |
Optimization of MPRM functions using tabular techniques and genetic algorithms BA Al Jassani, N Urquhart, AEA Almaini The Mediterranean Journal of Electronics and Communications 4 (4), 110-125, 2008 | 9 | 2008 |