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NEIL B URQUHART
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Name
Affiliation
Papers
NEIL B URQUHART
Edinburgh Napier Univ, Ctr Emergent Comp, Edinburgh, Midlothian, Scotland
27
Collaborators
Citations
PageRank
49
83
14.70
Referers
Referees
References
173
235
108
Search Limit
100
235
Publications (27 rows)
Collaborators (49 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Using AGADE Traffic to Analyse Purpose-Driven Travel Behaviour
0
0.34
2021
Optimisation algorithms for parallel machine scheduling problems with setup times
0
0.34
2021
Increasing trust in meta-heuristics by using MAP-elites.
0
0.34
2019
Simulating the Actions of Commuters Using a Multi-Agent System.
0
0.34
2019
An illumination algorithm approach to solving the micro-depot routing problem
0
0.34
2019
Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems.
1
0.36
2018
Combining parallel coordinates with multi-objective evolutionary algorithms in a real-world optimisation problem
0
0.34
2017
Evolving solution choice and decision support for a real-world optimisation problem.
2
0.39
2017
AGADE-TRAFFIC - Multi-agent Simulations in Geographical Networks.
0
0.34
2017
Ontology Based Business Simulations.
0
0.34
2016
Demo Paper: AGADE - Scalability of Ontology Based Agent Simulations.
0
0.34
2016
Demo Paper: AGADE Using Communities of Agents to Provide Realistic Feedback in Business Simulations.
0
0.34
2015
Multi-Modal Employee Routing with Time Windows in an Urban Environment
3
0.44
2015
AGADE Using Personal Preferences and World Knowledge to Model Agent Behaviour
2
0.50
2015
A real-world employee scheduling and routing application
3
0.44
2014
Influence of topology and payload on CO2 optimised vehicle routing
5
0.81
2010
Applications of Evolutionary Computation, EvoApplications 2010: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART, and EvoTRANSLOG, Istanbul, Turkey, April 7-9, 2010, Proceedings, Part II
45
3.98
2010
Building Low Co2 Solutions To The Vehicle Routing Problem With Time Windows Using An Evolutionary Algorithm
7
0.67
2010
Using an evolutionary algorithm to discover low CO2 tours within a travelling salesman problem
1
0.51
2010
Carbon-friendly travel plan construction using an evolutionary algorithm
1
0.40
2007
Real-time construction of aircraft landing schedules using an evolutionary algorithm
0
0.34
2006
Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation
6
0.52
2004
Routing using evolutionary agents and proactive transactions
0
0.34
2003
Improving Street Based Routing Using Building Block Mutations
2
0.42
2002
Solving a Real World Routing Problem Using Multiple Evolutionary Agents
2
0.42
2002
Street-Based Routing Using an Evolutionary Algorithm
3
0.46
2001
Optimising an Evolutionary Algorithm for Scheduling
0
0.34
2000
1