Neil Urquhart

Orcid: 0000-0001-5669-5479

According to our database1, Neil Urquhart authored at least 64 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Evolving Staff Training Schedules Using an Extensible Fitness Function and a Domain Specific Language.
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.
IEEE Technol. Soc. Mag., December, 2023

Improving the Size and Quality of MAP-Elites Containers via Multiple Emitters and Decoders for Urban Logistics.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

Extending AGADE Traffic To Simulate Auctions In Shared Mobility Services.
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
Natural Computing Series, Springer, ISBN: 978-3-030-98107-5, 2022

Modelling the Impact of Individual Preferences on Traffic Policies.
SN Comput. Sci., 2022

An empirical evaluation of a novel domain-specific language - modelling vehicle routing problems with Athos.
Empir. Softw. Eng., 2022

Multi-Agent Modelling Notation (MAMN): A Multi-layered Graphical Modelling Notation for Agent-Based Simulations.
Proceedings of the PRIMA 2022: Principles and Practice of Multi-Agent Systems, 2022

2021
Groovy Parallel Patterns: A Process oriented Parallelization Library.
CoRR, 2021

An Overview of Agent-based Traffic Simulators.
CoRR, 2021

A conceptual framework for establishing trust in real world intelligent systems.
Cogn. Syst. Res., 2021

Using AGADE Traffic to Analyse Purpose-Driven Travel Behaviour.
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.
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.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Real Time Optimisation of Traffic Signals to Prioritise Public Transport.
Proceedings of the Applications of Evolutionary Computation, 2021

Automated, Explainable Rule Extraction from MAP-Elites Archives.
Proceedings of the Applications of Evolutionary Computation, 2021

Using Semantic Technology To Model Persona For Adaptable Agents.
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.
Autom., 2020

Athos: An Extensible DSL for Model Driven Traffic and Transport Simulation.
Proceedings of the Modellierung 2020, 19.-21. Februar 2020, Wien, Österreich., 2020

2019
Simulating the Actions of Commuters Using a Multi-Agent System.
J. Artif. Soc. Soc. Simul., 2019

An Agent Based Technique for Improving Multi-stakeholder Optimisation Problems.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Increasing trust in meta-heuristics by using MAP-elites.
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.
Proceedings of the Applications of Evolutionary Computation, 2019

Simulating Dynamic Vehicle Routing Problems With Athos.
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.
Proceedings of the 4th ACM International Workshop on Real World Domain Specific Languages, 2019

2018
Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems.
IEEE Technol. Soc. Mag., 2018

Optimisation and Illumination of a Real-world Workforce Scheduling and Routing Application via Map-Elites.
CoRR, 2018

Optimisation and Illumination of a Real-World Workforce Scheduling and Routing Application (WSRP) via Map-Elites.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

ATHOS - A Domain-Specific Language for Multi-agent Simulations.
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.
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.
Proceedings of the Applications of Evolutionary Computation, 2018

A Domain-Specific Language For Routing Problems.
Proceedings of the European Conference on Modelling and Simulation, 2018

2017
AGADE-TRAFFIC - Multi-agent Simulations in Geographical Networks.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Combining parallel coordinates with multi-objective evolutionary algorithms in a real-world optimisation problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Ontology Based Business Simulations.
J. Artif. Soc. Soc. Simul., 2016

Demo Paper: AGADE - Scalability of Ontology Based Agent Simulations.
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.
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.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Optimising the Scheduling and Planning of Urban Milk Deliveries.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

2014
Techniques for Auditing the ICT Carbon Footprint of an Organisation.
Int. J. Green Comput., 2014

AGADE - How Individual Guidance Leads to Group Behaviour and How This Can Be Simulated.
Proceedings of the Multiagent System Technologies - 12th German Conference, 2014

A real-world employee scheduling and routing application.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Using graphical information systems to improve vehicle routing problem instances.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Incorporating emissions models within a multi-objectivevehicle routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2011
State assignment for sequential circuits using multi-objective genetic algorithm.
IET Comput. Digit. Tech., 2011

Planning and Optimising Organisational Travel Plans Using an Evolutionary Algorithm.
Proceedings of the Applications of Evolutionary Computation, 2011

Some Initial Experiments in Calibrating Emissions Models Using an Evolutionary Algorithm.
Proceedings of the Bio-Inspired Models of Networks, Information, and Computing Systems, 2011

2010
Manipulation and optimisation techniques for Boolean logic.
IET Comput. Digit. Tech., 2010

Using an Evolutionary Algorithm to Discover Low CO<sub>2</sub> Tours within a Travelling Salesman Problem.
Proceedings of the Applications of Evolutionary Computation, 2010

Influence of Topology and Payload on CO<sub>2</sub> Optimised Vehicle Routing.
Proceedings of the Applications of Evolutionary Computation, 2010

Building low CO2 solutions to the vehicle routing problem with Time Windows using an evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
An Application of CoSMoS Design Methods to Pedestrian Simulation.
Proceedings of the thirty-second Communicating Process Architectures Conference, 2009

Application of CoSMoS Parallel Design Patterns to a Pedestrian Simulation.
Proceedings of the Parallel Processing and Applied Mathematics, 2009

2007
Carbon-friendly travel plan construction using an evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
Real-time construction of aircraft landing schedules using an evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2004
Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation.
Proceedings of the Parallel Problem Solving from Nature, 2004

2003
Routing Using Evolutionary Agents and Proactive Transactions.
Proceedings of the Applications of Evolutionary Computing, 2003

2002
Solving a Real World Routing Problem Using Multiple Evolutionary Agents.
Proceedings of the Parallel Problem Solving from Nature, 2002

Improving Street Based Routing Using Building Block Mutations.
Proceedings of the Applications of Evolutionary Computing, 2002

2001
Street-Based Routing Using an Evolutionary Algorithm.
Proceedings of the Applications of Evolutionary Computing, 2001

2000
Optimising an Evolutionary Algorithm for Scheduling.
Proceedings of the Real-World Applications of Evolutionary Computing, 2000


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