Neil Urquhart

发表

Application of CoSMoS Parallel Design Patterns to a Pedestrian Simulation

Sarah Clayton, Neil Urquhart, Jon M. Kerridge, 2009, PPAM.

Techniques for Auditing the ICT Carbon Footprint of an Organisation

Neil Urquhart, Clément Mouchet, Rob Kemmer, 2014, Int. J. Green Comput..

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

Neil Urquhart, 2006, GECCO '06.

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

Neil Urquhart, Benjamin Hoffmann, Thomas Farrenkopf, 2014, MATES.

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

Neil Urquhart, Benjamin Hoffmann, Michael Guckert, 2020, Modellierung.

An Application of CoSMoS Design Methods to Pedestrian Simulation

Sarah Clayton, Neil Urquhart, Jon M. Kerridge, 2009, CPA.

Applications of Evolutionary ComputationEvoApplications 2011: EvoCOMNET, EvoFIN, EvoHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOG, Torino, Italy, April 27-29, 2011, Proceedings, Part II

Rolf Drechsler, Giovanni Squillero, Anthony Brabazon, 2011 .

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

Neil Urquhart, Benjamin Hoffmann, Kevin Chalmers, 2018, PAAMS.

Simulating Dynamic Vehicle Routing Problems With Athos

Neil Urquhart, Benjamin Hoffmann, Michael Guckert, 2019, ECMS.

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

Neil Urquhart, Emma Hart, Silke Höhl, 2019, GECCO.

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

Neil Urquhart, Achille Fonzone, 2017, GECCO.

Automated Scheduling and Planning - From Theory to Practice

Ender Özcan, Neil Urquhart, A. Sima Uyar, 2013, Automated Scheduling and Planning.

AGADE Using Personal Preferences and World Knowledge to Model Agent Behaviour

Neil Urquhart, Thomas Farrenkopf, Michael Guckert, 2015, PAAMS.

Routing Using Evolutionary Agents and Proactive Transactions

Ben Paechter, Neil Urquhart, Peter Ross, 2003, EvoWorkshops.

Ontology Based Business Simulations

Neil Urquhart, Thomas Farrenkopf, Michael Guckert, 2016, J. Artif. Soc. Soc. Simul..

State assignment for sequential circuits using multi-objective genetic algorithm

Neil Urquhart, A. E. A. Almaini, B. A. Al Jassani, 2011, IET Comput. Digit. Tech..

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

Neil Urquhart, Benjamin Hoffmann, Kevin Chalmers, 2019, RWDSL@CGO.

Supporting the teaching of Java using surgeries.

Neil Urquhart, 2004 .

Incorporating emissions models within a multi-objectivevehicle routing problem

Neil Urquhart, Emma Hart, Catherine Scott, 2013, GECCO '13 Companion.

Applications of Evolutionary Computation - 18th European Conference, EvoApplications

Federico Divina, Mengjie Zhang, Carlos Cotta, 2015 .

AGADE-TRAFFIC - Multi-agent Simulations in Geographical Networks

Neil Urquhart, Thomas Farrenkopf, Michael Guckert, 2017, PAAMS.

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

Neil Urquhart, N. Urquhart, 2017, GECCO.

An Agent Based Technique for Improving Multi-stakeholder Optimisation Problems

Neil Urquhart, Simon T. Powers, 2019, PAAMS.

A New Rich Vehicle Routing Problem Model and Benchmark Resource

Neil Urquhart, Emma Hart, Kevin Sim, 2019 .

From development to delivery in industrial service innovation

Neil Urquhart, Erik Lindhult, Carina Sjödin, 2011 .

TRACKING AND ANALYSIS OF THE MOVEMENT OF PEDESTRIANS

Sarah Clayton, Neil Urquhart, Jon M. Kerridge, 2007 .

Some Initial Experiments in Calibrating Emissions Models Using an Evolutionary Algorithm

Neil Urquhart, 2011, BIONETICS.

Increasing trust in meta-heuristics by using MAP-elites

Neil Urquhart, Simon T. Powers, Michael Guckert, 2019, GECCO.

Planning and Optimising Organisational Travel Plans Using an Evolutionary Algorithm

Neil Urquhart, 2011, EvoApplications.

Solving a real world routing problem using multiple evolutionary algorithms.

Ben Paechter, Neil Urquhart, Peter Ross, 2002 .

Demo Paper: AGADE - Scalability of Ontology Based Agent Simulations

Neil Urquhart, Thomas Farrenkopf, Michael Guckert, 2016, PAAMS.

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

Jano I. van Hemert, Neil Urquhart, 2004, PPSN.

Carbon-friendly travel plan construction using an evolutionary algorithm

Neil Urquhart, 2007, GECCO '07.

Simulating the Actions of Commuters Using a Multi-Agent System

Neil Urquhart, Simon T. Powers, J. Gareth Polhill, 2019, J. Artif. Soc. Soc. Simul..

Using real-world geospatial data with evolutionary algorithms.

Neil Urquhart, 2010 .

Building distribution networks using cooperative agents.

Neil Urquhart, 2006 .

Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems

Peter R. Lewis, Han The Anh, Neil Urquhart, 2018, IEEE Technology and Society Magazine.

Optimising the Scheduling and Planning of Urban Milk Deliveries

Neil Urquhart, 2015, EvoApplications.

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

Neil Urquhart, Emma Hart, Alistair Judson, 2015, GECCO.

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

Neil Urquhart, Emma Hart, William Hutcheson, 2019, EvoApplications.

Influence of Topology and Payload on CO2 Optimised Vehicle Routing

Neil Urquhart, Emma Hart, Cathy Scott, 2010, EvoApplications.

Improving Street Based Routing Using Building Block Mutations

Ben Paechter, Neil Urquhart, Peter Ross, 2002, EvoWorkshops.

A real-world employee scheduling and routing application

Neil Urquhart, Emma Hart, Kevin Sim, 2014, GECCO.

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

Neil Urquhart, Emma Hart, William Hutcheson, 2020, Autom..

Solving a real world routing problem using evolutionary agents.

Ben Paechter, Neil Urquhart, Peter Ross, 2002 .

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

Neil Urquhart, Emma Hart, Cathy Scott, 2010, EvoApplications.

Agent motion planning with GAs enhanced by memory models

Neil Urquhart, Martijn C. J. Bot, Ken Chisholm, 2001 .

Evaluating the Performance of an Evolutionary Tool for Exploring Solution Fronts

Neil Urquhart, 2018, EvoApplications.

Using graphical information systems to improve vehicle routing problem instances

Neil Urquhart, Emma Hart, Catherine Scott, 2013, GECCO '13 Companion.

A Domain-Specific Language For Routing Problems

Neil Urquhart, Benjamin Hoffmann, Kevin Chalmers, 2018, ECMS.

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

Neil Urquhart, Benjamin Hoffmann, Kevin Chalmers, 2018, PAAMS.

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

Neil Urquhart, Emma Hart, Cathy Scott, 2010, IEEE Congress on Evolutionary Computation.

Street-Based Routing Using an Evolutionary Algorithm

Ben Paechter, Neil Urquhart, Kenneth Chisholm, 2001, EvoWorkshops.

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

Neil Urquhart, Thomas Farrenkopf, Michael Guckert, 2015, PAAMS.

Optimising an Evolutionary Algorithm for Scheduling

Ben Paechter, Neil Urquhart, Kenneth Chisholm, 2000, EvoWorkshops.

Product Service System Challenges within Telecommunication: Reaching the Era of Mutual Dependency

Neil Urquhart, Sofi Elfving, S. Elfving, 2013 .

Solving a Real World Routing Problem Using Multiple Evolutionary Agents

Ben Paechter, Neil Urquhart, Peter Ross, 2002, PPSN.

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

Neil Urquhart, Emma Hart, E. Hart, 2018, PPSN.

Manipulation and optimisation techniques for Boolean logic

Neil Urquhart, A. E. A. Almaini, B. A. Al Jassani, 2010, IET Comput. Digit. Tech..

CO2Y™ - THE INTELLIGENT GREEN SOLUTION: MINIMISING CARBON EMISSIONS BY MAXIMISING SHARED TRAVEL OPPORTUNITY.

Neil Urquhart, Richard Holden, Tom McEwan, 2009 .

Optimization of MPRM functions using tabular techniques and genetic algorithms.

Neil Urquhart, A. E. A. Almaini, ban Adil Al-Jassani, 2008 .

Groovy Parallel Patterns: A Process oriented Parallelization Library pdf

Neil Urquhart, Jon Kerridge, J. Kerridge, 2021, ArXiv.

Using Semantic Technology To Model Persona For Adaptable Agents

Neil Urquhart, Simon T. Powers, Thomas Farrenkopf, 2021, ECMS.

Optimisation algorithms for parallel machine scheduling problems with setup times

Neil Urquhart, Michael Guckert, Jana Holznigenkemper, 2021, GECCO Companion.

Automated, Explainable Rule Extraction from MAP-Elites Archives

Neil Urquhart, Emma Hart, Silke Höhl, 2021, EvoApplications.

Modelling Individual Preferences to Study and Predict Effects of Traffic Policies

Neil Urquhart, Simon T. Powers, Thomas Farrenkopf, 2021, PAAMS.

A conceptual framework for establishing trust in real world intelligent systems

Neil Urquhart, Michael Guckert, Jennifer Hannig, 2021, Cognitive Systems Research.

An Overview of Agent-based Traffic Simulators pdf

Neil Urquhart, Simon T. Powers, Thomas Farrenkopf, 2021, Transportation Research Interdisciplinary Perspectives.

Using AGADE Traffic to Analyse Purpose-Driven Travel Behaviour

Neil Urquhart, Simon T. Powers, Thomas Farrenkopf, 2021, PAAMS.

Real Time Optimisation of Traffic Signals to Prioritise Public Transport

Neil Urquhart, Per-Arno Plötz, Milan Wittpohl, 2021, EvoApplications.

Creating Optimised Employee Travel Plans

Neil Urquhart, Emma Hart, 2018, Computational Methods in Applied Sciences.