Optimising an Evolutionary Algorithm for Scheduling. - Neil Urquhart; Kenneth Chisholm; Ben Paechter (EvoWorkshops, 2000)

Street-Based Routing Using an Evolutionary Algorithm. - Neil Urquhart; Ben Paechter; Kenneth Chisholm (EvoWorkshops, 2001)

Improving Street Based Routing Using Building Block Mutations. - Neil Urquhart; Peter Ross; Ben Paechter; Kenneth Chisholm (EvoWorkshops, 2002)

Solving a Real World Routing Problem Using Multiple Evolutionary Agents. - Neil Urquhart; Peter Ross; Ben Paechter; Kenneth Chisholm (PPSN, 2002)

Routing Using Evolutionary Agents and Proactive Transactions. - Neil Urquhart; Peter Ross; Ben Paechter; Kenneth Chisholm (EvoWorkshops, 2003)

Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation. - Jano I. van Hemert; Neil Urquhart (PPSN, 2004)

Real-time construction of aircraft landing schedules using an evolutionary algorithm. - Neil Urquhart (GECCO, 2006)

Carbon-friendly travel plan construction using an evolutionary algorithm. - Neil Urquhart (GECCO, 2007)

Application of CoSMoS Parallel Design Patterns to a Pedestrian Simulation. - Sarah Clayton; Neil Urquhart; Jon M. Kerridge (PPAM (2), 2009)

An Application of CoSMoS Design Methods to Pedestrian Simulation. - Sarah Clayton; Neil Urquhart; Jon M. Kerridge (CPA, 2009)

Building low CO2 solutions to the vehicle routing problem with Time Windows using an evolutionary algorithm. - Neil Urquhart; Emma Hart; Cathy Scott (IEEE Congress on Evolutionary Computation, 2010)

Influence of Topology and Payload on CO2 Optimised Vehicle Routing. - Cathy Scott; Neil Urquhart; Emma Hart (EvoApplications (2), 2010)

Using an Evolutionary Algorithm to Discover Low CO2 Tours within a Travelling Salesman Problem. - Neil Urquhart; Cathy Scott; Emma Hart (EvoApplications (2), 2010)

Manipulation and optimisation techniques for Boolean logic. - B. A. Al Jassani; Neil Urquhart; A. E. A. Almaini (IET Comput. Digit. Tech., 2010)

Some Initial Experiments in Calibrating Emissions Models Using an Evolutionary Algorithm. - Neil Urquhart (BIONETICS, 2011)

Planning and Optimising Organisational Travel Plans Using an Evolutionary Algorithm. - Neil Urquhart (EvoApplications (2), 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)

Incorporating emissions models within a multi-objectivevehicle routing problem. - Neil Urquhart; Catherine Scott; Emma Hart (GECCO (Companion), 2013)

Using graphical information systems to improve vehicle routing problem instances. - Neil Urquhart; Catherine Scott; Emma Hart (GECCO (Companion), 2013)

A real-world employee scheduling and routing application. - Emma Hart; Kevin Sim; Neil Urquhart (GECCO (Companion), 2014)

AGADE - How Individual Guidance Leads to Group Behaviour and How This Can Be Simulated. - Thomas Farrenkopf; Michael Guckert; Benjamin Hoffmann; Neil Urquhart (MATES, 2014)

Techniques for Auditing the ICT Carbon Footprint of an Organisation. - Clément Mouchet; Neil Urquhart; Rob Kemmer (Int. J. Green Comput., 2014)

Optimising the Scheduling and Planning of Urban Milk Deliveries. - Neil Urquhart (EvoApplications, 2015)

Multi-Modal Employee Routing with Time Windows in an Urban Environment. - Neil B. Urquhart; Emma Hart; Alistair Judson (GECCO (Companion), 2015)

AGADE Using Personal Preferences and World Knowledge to Model Agent Behaviour. - Thomas Farrenkopf; Michael Guckert; Neil Urquhart (PAAMS, 2015)

Demo Paper: AGADE - Using Communities of Agents to Provide Realistic Feedback in Business Simulations. - Thomas Farrenkopf; Michael Guckert; Neil Urquhart (PAAMS, 2015)

Demo Paper: AGADE - Scalability of Ontology Based Agent Simulations. - Thomas Farrenkopf; Michael Guckert; Neil Urquhart; Simon Wells (PAAMS, 2016)

Ontology Based Business Simulations. - Thomas Farrenkopf; Michael Guckert; Neil Urquhart; Simon Wells (J. Artif. Soc. Soc. Simul., 2016)

Combining parallel coordinates with multi-objective evolutionary algorithms in a real-world optimisation problem. - Neil Urquhart (GECCO (Companion), 2017)

Evolving solution choice and decision support for a real-world optimisation problem. - Neil Urquhart; Achille Fonzone (GECCO, 2017)

AGADE-TRAFFIC - Multi-agent Simulations in Geographical Networks. - Serge Rotärmel; Michael Guckert; Thomas Farrenkopf; Neil Urquhart (PAAMS, 2017)

A Domain-Specific Language For Routing Problems. - Benjamin Hoffmann; Michael Guckert; Thomas Farrenkopf; Kevin Chalmers; Neil Urquhart (ECMS, 2018)

Evaluating the Performance of an Evolutionary Tool for Exploring Solution Fronts. - Neil B. Urquhart (EvoApplications, 2018)

Towards Reducing Complexity of Multi-agent Simulations by Applying Model-Driven Techniques. - Benjamin Hoffmann; Kevin Chalmers; Neil Urquhart; Thomas Farrenkopf; Michael Guckert (PAAMS, 2018)

ATHOS - A Domain-Specific Language for Multi-agent Simulations. - Benjamin Hoffmann; Kevin Chalmers; Neil Urquhart; Thomas Farrenkopf; Michael Guckert (PAAMS, 2018)

Optimisation and Illumination of a Real-World Workforce Scheduling and Routing Application (WSRP) via Map-Elites. - Neil Urquhart; Emma Hart (PPSN (1), 2018)

Optimisation and Illumination of a Real-world Workforce Scheduling and Routing Application via Map-Elites. - Neil Urquhart; Emma Hart (CoRR, 2018)

Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems. - Peter Andras 001; Lukas Esterle; Michael Guckert; The Anh Han; Peter R. Lewis 001; Kristina Milanovic; Terry R. Payne; Cedric Perret; Jeremy Pitt; Simon T. Powers; Neil Urquhart; Simon Wells (IEEE Technol. Soc. Mag., 2018)

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 (RWDSL@CGO, 2019)

Simulating Dynamic Vehicle Routing Problems With Athos. - Benjamin Hoffmann; Michael Guckert; Kevin Chalmers; Neil Urquhart (ECMS, 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 (EvoApplications, 2019)

Increasing trust in meta-heuristics by using MAP-elites. - Neil Urquhart; Michael Guckert; Simon T. Powers (GECCO (Companion), 2019)

An illumination algorithm approach to solving the micro-depot routing problem. - Neil Urquhart; Silke Höhl; Emma Hart (GECCO, 2019)

An Agent Based Technique for Improving Multi-stakeholder Optimisation Problems. - Neil Urquhart; Simon T. Powers (PAAMS, 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)

Athos: An Extensible DSL for Model Driven Traffic and Transport Simulation. - Benjamin Hoffmann; Neil Urquhart; Kevin Chalmers; Michael Guckert (Modellierung, 2020)

Using MAP-Elites to support policy making around Workforce Scheduling and Routing. - Neil Urquhart; Emma Hart; William Hutcheson (Autom., 2020)

Using Semantic Technology To Model Persona For Adaptable Agents. - Johannes Nguyen; Thomas Farrenkopf; Michael Guckert; Simon T. Powers; Neil Urquhart (ECMS, 2021)

Automated, Explainable Rule Extraction from MAP-Elites Archives. - Neil Urquhart; Silke Höhl; Emma Hart (EvoApplications, 2021)

Real Time Optimisation of Traffic Signals to Prioritise Public Transport. - Milan Wittpohl; Per-Arno Plötz; Neil Urquhart (EvoApplications, 2021)

Optimisation algorithms for parallel machine scheduling problems with setup times. - Fabian Kittel; Jannik Enenkel; Michael Guckert; Jana Holznigenkemper; Neil Urquhart (GECCO Companion, 2021)

Modelling Individual Preferences to Study and Predict Effects of Traffic Policies. - Johannes Nguyen; Simon T. Powers; Neil Urquhart; Thomas Farrenkopf; Michael Guckert (PAAMS, 2021)

Using AGADE Traffic to Analyse Purpose-Driven Travel Behaviour. - Johannes Nguyen; Simon T. Powers; Neil Urquhart; Thomas Farrenkopf; Michael Guckert (PAAMS, 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)

An Overview of Agent-based Traffic Simulators. - Johannes Nguyen; Simon T. Powers; Neil Urquhart; Thomas Farrenkopf; Michael Guckert (CoRR, 2021)

Groovy Parallel Patterns: A Process oriented Parallelization Library. - Jon M. Kerridge; Neil Urquhart (CoRR, 2021)

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 (PRIMA, 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)

Modelling the Impact of Individual Preferences on Traffic Policies. - Johannes Nguyen; Simon T. Powers; Neil Urquhart; Thomas Farrenkopf; Michael Guckert (SN Comput. Sci., 2022)

Nature Inspired Optimisation for Delivery Problems - From Theory to the Real World - Neil Urquhart (Springer, 2022)

Extending AGADE Traffic To Simulate Auctions In Shared Mobility Services. - Johannes Nguyen; Simon T. Powers; Neil Urquhart; Dominic Eckerle; Thomas Farrenkopf; Michael Guckert (ECMS, 2023)

Improving the Size and Quality of MAP-Elites Containers via Multiple Emitters and Decoders for Urban Logistics. - Neil Urquhart; Emma Hart (EvoApplications@EvoStar, 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 001; Stephen Marsh 001; Tim Weber (IEEE Technol. Soc. Mag., 2023)

Evolving Staff Training Schedules Using an Extensible Fitness Function and a Domain Specific Language. - Neil Urquhart; Kelly Hunter (EvoApplications@EvoStar, 2024)

The British Rail Total Operations Processing System and the Birth of Telematics. - Neil Urquhart (IEEE Ann. Hist. Comput., 2024)