30 results

AGADE how individual guidance leads to group behaviour and how this can be simulated

Conference Proceeding
Farrenkopf, T., Guckert, M., Hoffmann, B., & Urquhart, N. B. (2014)
AGADE how individual guidance leads to group behaviour and how this can be simulated. In J. Muller, M. Weyrich, & A. Bazzan (Eds.), Multiagent System Technologies. , (234-250). https://doi.org/10.1007/978-3-319-11584-9_16
In this paper we will demonstrate how BDI agents can be used to model individuals as participants in social structures where they act as potential buyers in a simple mobile ph...

Minimization of incompletely specified mixed polarity Reed Muller functions using genetic algorithm.

Conference Proceeding
Al-Jassani, B. A., Urquhart, N. B., & Almaini, A. E. A. (2009)
Minimization of incompletely specified mixed polarity Reed Muller functions using genetic algorithm. https://doi.org/10.1109/12.67320
A New and efficient Genetic Algorithm (GA) based approach is presented to minimise the number of terms of Mixed Polarity Reed Muller (MPRM) single and multi output incompletel...

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

Conference Proceeding
Urquhart, N. (2006)
Real-time construction of aircraft landing schedules using an evolutionary algorithm. In M. Cattolico, M. Keijzer, M. O. Neill, & C. M. Ryan (Eds.), Genetic and Evolutionary Computation Conference (GECCO)https://doi.org/10.1145/1143997.1144309
This poster investigates the use of Evolutionary Algorithms (EAs) to optimise solutions to the Dynamic Aircraft Landing Problem (DALP). The approach adopted here uses an EA to...

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

Conference Proceeding
Urquhart, N. (2017)
Combining parallel coordinates with multi-objective evolutionary algorithms in a real-world optimisation problem. In GECCO ’17 Companion, B (1335-1340). https://doi.org/10.1145/3067695.3082485
Optimisation problems based upon real-world instances often contain many objectives. Many existing Multi-Objective Evolutionary Algorithm techniques return a set of solutions ...

Increasing Trust in Meta-Heuristics by Using MAP-Elites

Conference Proceeding
Urquhart, N., Guckert, M., & Powers, S. (2019)
Increasing Trust in Meta-Heuristics by Using MAP-Elites. In GECCO '19 Companion, (1345-1348). https://doi.org/10.1145/3319619.3326816
Intelligent AI systems using approaches containing emergent elements often encounter acceptance problems. Results do not get sufficiently explained and the procedure itself ca...

Multi-Modal employee routing with time windows in an urban environment.

Conference Proceeding
Urquhart, N. B., Hart, E., & Judson, A. (2015)
Multi-Modal employee routing with time windows in an urban environment. In Proceedings of the 2015 Genetic and Evolutionary Algorithms Conference (1503-1504). https://doi.org/10.1145/2739482.2764649
An urban environment provides a number of challenges and opportunities for organisations faced with the task of scheduling a mobile workforce. Given a mixed set of public and ...

Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem.

Conference Proceeding
Urquhart, N., Hart, E., & Hutcheson, W. (2019)
Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem. In EvoApplications 2019: Applications of Evolutionary Computation, 49-63. https://doi.org/10.1007/978-3-030-16692-2_4
Quality-diversity algorithms such as MAP-Elites provide a means of supporting the users when finding and choosing solutions to a problem by returning a set of solutions which ...

Information Diffusion in Multi-Agent Communities

Conference Proceeding
Farrenkopf, T., Guckert, M., Urquhart, N., & Wells, S. (in press)
Information Diffusion in Multi-Agent Communities. In Conference Proceedings
Understanding the course of events when newly launched products penetrate a market, and how those products supersede existing dominant products, is crucial. Besides potential ...

Using graphical information systems to improve vehicle routing problem instances.

Conference Proceeding
Urquhart, N. B., Scott, C., & Hart, E. (2013)
Using graphical information systems to improve vehicle routing problem instances. In C. Blum (Ed.), GECCO'13 Companion (1097-1102). https://doi.org/10.1145/2464576.2466802
This paper makes the assertion that vehicle routing rearch has produced increasingly more powerful problem solvers, but has not increased the realism or compexity of typical p...

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

Conference Proceeding
Urquhart, N., & Hart, E. (2018)
Optimisation and Illumination of a Real-world Workforce Scheduling and Routing Application via Map-Elites. In Parallel Problem Solving from Nature – PPSN XV 15th International Conference, Coimbra, Portugal, September 8–12, 2018, Proceedings, Part Ihttps://doi.org/10.1007/978-3-319-99253-2_39
Workforce Scheduling and Routing Problems (WSRP) are very common in many practical domains, and usually have a number of objectives. Illumination algorithms such as Map-Elites...