Neil Urquhart

According to our database, Neil Urquhart authored at least 65 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The British Rail Total Operations Processing System and the Birth of Telematics.

Neil Urquhart

IEEE Ann. Hist. Comput., 2024

Evolving Staff Training Schedules Using an Extensible Fitness Function and a Domain Specific Language.

Neil Urquhart, Kelly Hunter

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

2023

The Stuff We Swim in: Regulation Alone Will Not Lead to Justifiable Trust in AI.

Simon T. Powers, Olena Linnyk, Michael Guckert, Jennifer Hannig, Jeremy Pitt, Neil Urquhart, Anikó Ekárt, Nils Gumpfer, The Anh Han, Peter R. Lewis, Stephen Marsh, Tim Weber

IEEE Technol. Soc. Mag., December, 2023

Improving the Size and Quality of MAP-Elites Containers via Multiple Emitters and Decoders for Urban Logistics.

Neil Urquhart, Emma Hart

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

Extending AGADE Traffic To Simulate Auctions In Shared Mobility Services.

Johannes Nguyen, Simon T. Powers, Neil Urquhart, Dominic Eckerle, Thomas Farrenkopf, Michael Guckert

Proceedings of the 37th ECMS International Conference on Modelling and Simulation, 2023

2022

Nature Inspired Optimisation for Delivery Problems - From Theory to the Real World

Neil Urquhart

Natural Computing Series, Springer, ISBN: 978-3-030-98107-5, 2022

Modelling the Impact of Individual Preferences on Traffic Policies.

Johannes Nguyen, Simon T. Powers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert

SN Comput. Sci., 2022

An empirical evaluation of a novel domain-specific language - modelling vehicle routing problems with Athos.

Benjamin Hoffmann, Neil Urquhart, Kevin Chalmers, Michael Guckert

Empir. Softw. Eng., 2022

Multi-Agent Modelling Notation (MAMN): A Multi-layered Graphical Modelling Notation for Agent-Based Simulations.

Johannes Nguyen, Simon T. Powers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert

Proceedings of the PRIMA 2022: Principles and Practice of Multi-Agent Systems, 2022

2021

Groovy Parallel Patterns: A Process oriented Parallelization Library.

Jon M. Kerridge, Neil Urquhart

CoRR, 2021

An Overview of Agent-based Traffic Simulators.

Johannes Nguyen, Simon T. Powers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert

CoRR, 2021

A conceptual framework for establishing trust in real world intelligent systems.

Michael Guckert, Nils Gumpfer, Jennifer Hannig, Till Keller, Neil Urquhart

Cogn. Syst. Res., 2021

Using AGADE Traffic to Analyse Purpose-Driven Travel Behaviour.

Johannes Nguyen, Simon T. Powers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, 2021

Modelling Individual Preferences to Study and Predict Effects of Traffic Policies.

Johannes Nguyen, Simon T. Powers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, 2021

Optimisation algorithms for parallel machine scheduling problems with setup times.

Fabian Kittel, Jannik Enenkel, Michael Guckert, Jana Holznigenkemper, Neil Urquhart

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Real Time Optimisation of Traffic Signals to Prioritise Public Transport.

Milan Wittpohl, Per-Arno Plötz, Neil Urquhart

Proceedings of the Applications of Evolutionary Computation, 2021

Automated, Explainable Rule Extraction from MAP-Elites Archives.

Neil Urquhart, Silke Höhl, Emma Hart

Proceedings of the Applications of Evolutionary Computation, 2021

Using Semantic Technology To Model Persona For Adaptable Agents.

Johannes Nguyen, Thomas Farrenkopf, Michael Guckert, Simon T. Powers, Neil Urquhart

Proceedings of the 35th International ECMS International Conference on Modelling and Simulation, 2021

2020

Using MAP-Elites to support policy making around Workforce Scheduling and Routing.

Neil Urquhart, Emma Hart, William Hutcheson

Autom., 2020

Athos: An Extensible DSL for Model Driven Traffic and Transport Simulation.

Benjamin Hoffmann, Neil Urquhart, Kevin Chalmers, Michael Guckert

Proceedings of the Modellierung 2020, 19.-21. Februar 2020, Wien, Österreich., 2020

2019

Simulating the Actions of Commuters Using a Multi-Agent System.

Neil Urquhart, Simon T. Powers, Zoe Wall, Achille Fonzone, Jiaqi Ge, J. Gary Polhill

J. Artif. Soc. Soc. Simul., 2019

An Agent Based Technique for Improving Multi-stakeholder Optimisation Problems.

Neil Urquhart, Simon T. Powers

Proceedings of the Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection, 2019

An illumination algorithm approach to solving the micro-depot routing problem.

Neil Urquhart, Silke Höhl, Emma Hart

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Increasing trust in meta-heuristics by using MAP-elites.

Neil Urquhart, Michael Guckert, Simon T. Powers

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Quantifying the Effects of Increasing User Choice in MAP-Elites Applied to a Workforce Scheduling and Routing Problem.

Neil Urquhart, Emma Hart, William Hutcheson

Proceedings of the Applications of Evolutionary Computation, 2019

Simulating Dynamic Vehicle Routing Problems With Athos.

Benjamin Hoffmann, Michael Guckert, Kevin Chalmers, Neil Urquhart

Proceedings of the 33rd International ECMS Conference on Modelling and Simulation, 2019

Athos - A Model Driven Approach to Describe and Solve Optimisation Problems: An Application to the Vehicle Routing Problem with Time Windows.

Benjamin Hoffmann, Kevin Chalmers, Neil Urquhart, Michael Guckert

Proceedings of the 4th ACM International Workshop on Real World Domain Specific Languages, 2019

2018

Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems.

Peter Andras, Lukas Esterle, Michael Guckert, The Anh Han, Peter R. Lewis, Kristina Milanovic, Terry R. Payne, Cedric Perret, Jeremy Pitt, Simon T. Powers, Neil Urquhart, Simon Wells

IEEE Technol. Soc. Mag., 2018

Optimisation and Illumination of a Real-world Workforce Scheduling and Routing Application via Map-Elites.

Neil Urquhart, Emma Hart

CoRR, 2018

Optimisation and Illumination of a Real-World Workforce Scheduling and Routing Application (WSRP) via Map-Elites.

Neil Urquhart, Emma Hart

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

ATHOS - A Domain-Specific Language for Multi-agent Simulations.

Benjamin Hoffmann, Kevin Chalmers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018

Towards Reducing Complexity of Multi-agent Simulations by Applying Model-Driven Techniques.

Benjamin Hoffmann, Kevin Chalmers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018

Evaluating the Performance of an Evolutionary Tool for Exploring Solution Fronts.

Neil B. Urquhart

Proceedings of the Applications of Evolutionary Computation, 2018

A Domain-Specific Language For Routing Problems.

Benjamin Hoffmann, Michael Guckert, Thomas Farrenkopf, Kevin Chalmers, Neil Urquhart

Proceedings of the European Conference on Modelling and Simulation, 2018

2017

AGADE-TRAFFIC - Multi-agent Simulations in Geographical Networks.

Serge Rotärmel, Michael Guckert, Thomas Farrenkopf, Neil Urquhart

Proceedings of the Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection, 2017

Evolving solution choice and decision support for a real-world optimisation problem.

Neil Urquhart, Achille Fonzone

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Combining parallel coordinates with multi-objective evolutionary algorithms in a real-world optimisation problem.

Neil Urquhart

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Ontology Based Business Simulations.

Thomas Farrenkopf, Michael Guckert, Neil Urquhart, Simon Wells

J. Artif. Soc. Soc. Simul., 2016

Demo Paper: AGADE - Scalability of Ontology Based Agent Simulations.

Thomas Farrenkopf, Michael Guckert, Neil Urquhart, Simon Wells

Proceedings of the Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection, 2016

2015

Demo Paper: AGADE - Using Communities of Agents to Provide Realistic Feedback in Business Simulations.

Thomas Farrenkopf, Michael Guckert, Neil Urquhart

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection, 2015

AGADE Using Personal Preferences and World Knowledge to Model Agent Behaviour.

Thomas Farrenkopf, Michael Guckert, Neil Urquhart

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection, 2015

Multi-Modal Employee Routing with Time Windows in an Urban Environment.

Neil B. Urquhart, Emma Hart, Alistair Judson

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Optimising the Scheduling and Planning of Urban Milk Deliveries.

Neil Urquhart

Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

2014

Techniques for Auditing the ICT Carbon Footprint of an Organisation.

Clément Mouchet, Neil Urquhart, Rob Kemmer

Int. J. Green Comput., 2014

AGADE - How Individual Guidance Leads to Group Behaviour and How This Can Be Simulated.

Thomas Farrenkopf, Michael Guckert, Benjamin Hoffmann, Neil Urquhart

Proceedings of the Multiagent System Technologies - 12th German Conference, 2014

A real-world employee scheduling and routing application.

Emma Hart, Kevin Sim, Neil Urquhart

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

Using graphical information systems to improve vehicle routing problem instances.

Neil Urquhart, Catherine Scott, Emma Hart

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Incorporating emissions models within a multi-objectivevehicle routing problem.

Neil Urquhart, Catherine Scott, Emma Hart

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2011

State assignment for sequential circuits using multi-objective genetic algorithm.

B. A. Al Jassani, Neil Urquhart, A. E. A. Almaini

IET Comput. Digit. Tech., 2011

Planning and Optimising Organisational Travel Plans Using an Evolutionary Algorithm.

Neil Urquhart

Proceedings of the Applications of Evolutionary Computation, 2011

Some Initial Experiments in Calibrating Emissions Models Using an Evolutionary Algorithm.

Neil Urquhart

Proceedings of the Bio-Inspired Models of Networks, Information, and Computing Systems, 2011

2010

Manipulation and optimisation techniques for Boolean logic.

B. A. Al Jassani, Neil Urquhart, A. E. A. Almaini

IET Comput. Digit. Tech., 2010

Using an Evolutionary Algorithm to Discover Low CO₂ Tours within a Travelling Salesman Problem.

Neil Urquhart, Cathy Scott, Emma Hart

Proceedings of the Applications of Evolutionary Computation, 2010

Influence of Topology and Payload on CO₂ Optimised Vehicle Routing.

Cathy Scott, Neil Urquhart, Emma Hart

Proceedings of the Applications of Evolutionary Computation, 2010

Building low CO2 solutions to the vehicle routing problem with Time Windows using an evolutionary algorithm.

Neil Urquhart, Emma Hart, Cathy Scott

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

An Application of CoSMoS Design Methods to Pedestrian Simulation.

Sarah Clayton, Neil Urquhart, Jon M. Kerridge

Proceedings of the thirty-second Communicating Process Architectures Conference, 2009

Application of CoSMoS Parallel Design Patterns to a Pedestrian Simulation.

Sarah Clayton, Neil Urquhart, Jon M. Kerridge

Proceedings of the Parallel Processing and Applied Mathematics, 2009

2007

Carbon-friendly travel plan construction using an evolutionary algorithm.

Neil Urquhart

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006

Real-time construction of aircraft landing schedules using an evolutionary algorithm.

Neil Urquhart

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2004

Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation.

Jano I. van Hemert, Neil Urquhart

Proceedings of the Parallel Problem Solving from Nature, 2004

2003

Routing Using Evolutionary Agents and Proactive Transactions.

Neil Urquhart, Peter Ross, Ben Paechter, Kenneth Chisholm

Proceedings of the Applications of Evolutionary Computing, 2003

2002

Solving a Real World Routing Problem Using Multiple Evolutionary Agents.

Neil Urquhart, Peter Ross, Ben Paechter, Kenneth Chisholm

Proceedings of the Parallel Problem Solving from Nature, 2002

Improving Street Based Routing Using Building Block Mutations.

Neil Urquhart, Peter Ross, Ben Paechter, Kenneth Chisholm

Proceedings of the Applications of Evolutionary Computing, 2002

2001

Street-Based Routing Using an Evolutionary Algorithm.

Neil Urquhart, Ben Paechter, Kenneth Chisholm

Proceedings of the Applications of Evolutionary Computing, 2001

2000

Optimising an Evolutionary Algorithm for Scheduling.

Neil Urquhart, Kenneth Chisholm, Ben Paechter

Proceedings of the Real-World Applications of Evolutionary Computing, 2000